WorldWideScience

Sample records for hand motion classifier

  1. Classifying Multiple Types of Hand Motions Using Electrocorticography During Intraoperative Awake Craniotomy & Seizure Monitoring Processes - Case Studies

    Directory of Open Access Journals (Sweden)

    Tao eXie

    2015-10-01

    Full Text Available In this work, some case studies were conducted toclassify several kinds of hand motions from electrocorticography(ECoG signals during intraoperative awake craniotomy &extraoperative seizure monitoring processes. Four subjects (P1,P2 with intractable epilepsy during seizure monitoring and P3,P4 with brain tumor during awake craniotomy participatedin the experiments. Subjects performed three types of handmotions (Grasp, Thumb-finger motion and Index-finger motioncontralateral to the motor cortex covered with ECoG electrodes.Two methods were used for signal processing. Method I:autoregressive (AR model with burg method was applied toextract features, and additional waveform length (WL featurehas been considered, finally the linear discriminative analysis(LDA was used as the classifier. Method II: stationary subspaceanalysis (SSA was applied for data preprocessing, and thecommon spatial pattern (CSP was used for feature extractionbefore LDA decoding process. Applying method I, the threeclassaccuracy of P1□P4 were 90.17%, 96.00%, 91.77% and92.95% respectively. For method II, the three-class accuracy ofP1□P4 were 72.00%, 93.17%, 95.22% and 90.36% respectively.This study verified the possibility of decoding multiple handmotion types during an awake craniotomy, which is the firststep towards dexterous neuroprosthetic control during surgicalimplantation, in order to verify the optimal placement of electrodes.The accuracy during awake craniotomy was comparableto results during seizure monitoring. This study also indicatedthat ECoG was a promising approach for precise identificationof eloquent cortex during awake craniotomy, and might forma promising BCI system that could benefit both patients andneurosurgeons.

  2. Cinematic Motion by Hand

    DEFF Research Database (Denmark)

    Graca, Marina Estela

    2006-01-01

    that embraces both. Yet, over the last years, animation and live-action footage became completely tangled in cinematic productions. Obviously, this means that each of them is just a technical strategy supported by its own specialists and as one became dominant, the other turned out to be marginal. But what...... if we could ascertain a specific ontology for animation within technology that would explain how its marginality is rooted to its essence at least in one of its forms? In this paper I will try to argue that, by overwhelming the cinematic technical standard workings with their hand, authors exposed its...

  3. Hand in motion reveals mind in motion

    Directory of Open Access Journals (Sweden)

    Jonathan eFreeman

    2011-04-01

    Full Text Available Recently, researchers have measured hand movements en route to choices on a screen to understand the dynamics of a broad range of psychological processes. We review this growing body of research and explain how manual action exposes the real-time unfolding of underlying cognitive processing. We describe how simple hand motions may be used to continuously index participants’ tentative commitments to different choice alternatives during the evolution of a behavioral response. As such, hand-tracking can provide unusually high-fidelity, real-time motor traces of the mind. These motor traces cast novel theoretical and empirical light onto a wide range of phenomena and serve as a potential bridge between far-reaching areas of psychological science—from language, to high-level cognition and learning, to social cognitive processes.

  4. Dual window pattern recognition classifier for improved partial-hand prosthesis control

    Directory of Open Access Journals (Sweden)

    Eric Joseph Earley

    2016-02-01

    Full Text Available Although partial-hand amputees largely retain the ability to use their wrist, it is difficult to preserve wrist motion while using a myoelectric partial-hand prosthesis without severely impacting control performance. Electromyogram (EMG pattern recognition is a well-studied control method; however, EMG from wrist motion can obscure myoelectric finger control signals. Thus, to accommodate wrist motion and to provide high classification accuracy and minimize system latency, we developed a training protocol and a classifier that switches between long and short EMG analysis window lengths.Seventeen non-amputee and two partial-hand amputee subjects participated in a study to determine the effects of including EMG from different arm and hand locations during static and/or dynamic wrist motion in the classifier training data. We evaluated several real-time classification techniques to determine which control scheme yielded the highest performance in virtual real-time tasks using a 3-way ANOVA. We found significant interaction between analysis window length and the number of grasps available. Including static and dynamic wrist motion and intrinsic hand muscle EMG with extrinsic muscle EMG significantly reduced pattern recognition classification error by 35%. Classification delay or majority voting techniques significantly improved real-time task completion rates (17%, selection (23% and completion (11% times, and selection attempts (15% for non-amputee subjects, and the dual window classifier significantly reduced the time (8% and average number of attempts required to complete grasp selections (14% made in various wrist positions. Amputee subjects demonstrated improved task timeout rates, and made fewer grasp selection attempts, with classification delay or majority voting techniques.Thus, the proposed techniques show promise for improving control of partial-hand prostheses and more effectively restoring function to individuals using these devices.

  5. Prosthetic hand control using motion discrimination from EMG signals.

    Science.gov (United States)

    Kurisu, Naoyuki; Tsujiuchi, Nobutaka; Koizumi, Takayuki

    2009-01-01

    In this report, we improve the motion discrimination method from electromyogram (EMG) for a prosthetic hand and propose prosthetic hand control. In the past, we proved that a motion discrimination method using conic models could discriminate three hand motions without the incorrect discriminations that the elbow motions cause. In this research, to increase discrimination accuracy of motion discrimination using conic models, we propose a feature extraction method using quadratic polynomials. Additionally, because many prosthetic hands using motion discrimination have constant motion speed that can't be controlled, we propose an angular velocity generation method using multiple regression models. We verified these methods by controlling the 3D hand model. In the experiment, the proposed method could discriminate five motions at a rate of above 90 percent without the incorrect discriminations that elbow motions cause. Moreover, the wrist joint angle of the 3D hand model could be controlled by standard variation of 3[deg] or less.

  6. Classifying Human Leg Motions with Uniaxial Piezoelectric Gyroscopes

    Directory of Open Access Journals (Sweden)

    Kerem Altun

    2009-10-01

    Full Text Available This paper provides a comparative study on the different techniques of classifying human leg motions that are performed using two low-cost uniaxial piezoelectric gyroscopes worn on the leg. A number of feature sets, extracted from the raw inertial sensor data in different ways, are used in the classification process. The classification techniques implemented and compared in this study are: Bayesian decision making (BDM, a rule-based algorithm (RBA or decision tree, least-squares method (LSM, k-nearest neighbor algorithm (k-NN, dynamic time warping (DTW, support vector machines (SVM, and artificial neural networks (ANN. A performance comparison of these classification techniques is provided in terms of their correct differentiation rates, confusion matrices, computational cost, and training and storage requirements. Three different cross-validation techniques are employed to validate the classifiers. The results indicate that BDM, in general, results in the highest correct classification rate with relatively small computational cost.

  7. Evaluating EMG Feature and Classifier Selection for Application to Partial-Hand Prosthesis Control

    Directory of Open Access Journals (Sweden)

    Adenike A. Adewuyi

    2016-10-01

    Full Text Available Pattern recognition-based myoelectric control of upper limb prostheses has the potential to restore control of multiple degrees of freedom. Though this control method has been extensively studied in individuals with higher-level amputations, few studies have investigated its effectiveness for individuals with partial-hand amputations. Most partial-hand amputees retain a functional wrist and the ability of pattern recognition-based methods to correctly classify hand motions from different wrist positions is not well studied. In this study, focusing on partial-hand amputees, we evaluate (1 the performance of non-linear and linear pattern recognition algorithms and (2 the performance of optimal EMG feature subsets for classification of four hand motion classes in different wrist positions for 16 non-amputees and 4 amputees. Our results show that linear discriminant analysis and linear and non-linear artificial neural networks perform significantly better than the quadratic discriminant analysis for both non-amputees and partial-hand amputees. For amputees, including information from multiple wrist positions significantly decreased error (p<0.001 but no further significant decrease in error occurred when more than 4, 2, or 3 positions were included for the extrinsic (p=0.07, intrinsic (p=0.06, or combined extrinsic and intrinsic muscle EMG (p=0.08, respectively. Finally, we found that a feature set determined by selecting optimal features from each channel outperformed the commonly used time domain (p<0.001 and time domain/autoregressive feature sets (p<0.01. This method can be used as a screening filter to select the features from each channel that provide the best classification of hand postures across different wrist positions.

  8. Motion Control of Drives for Prosthetic Hand Using Continuous Myoelectric Signals

    Science.gov (United States)

    Purushothaman, Geethanjali; Ray, Kalyan Kumar

    2016-03-01

    In this paper the authors present motion control of a prosthetic hand, through continuous myoelectric signal acquisition, classification and actuation of the prosthetic drive. A four channel continuous electromyogram (EMG) signal also known as myoelectric signals (MES) are acquired from the abled-body to classify the six unique movements of hand and wrist, viz, hand open (HO), hand close (HC), wrist flexion (WF), wrist extension (WE), ulnar deviation (UD) and radial deviation (RD). The classification technique involves in extracting the features/pattern through statistical time domain (TD) parameter/autoregressive coefficients (AR), which are reduced using principal component analysis (PCA). The reduced statistical TD features and or AR coefficients are used to classify the signal patterns through k nearest neighbour (kNN) as well as neural network (NN) classifier and the performance of the classifiers are compared. Performance comparison of the above two classifiers clearly shows that kNN classifier in identifying the hidden intended motion in the myoelectric signals is better than that of NN classifier. Once the classifier identifies the intended motion, the signal is amplified to actuate the three low power DC motor to perform the above mentioned movements.

  9. Dual Window Pattern Recognition Classifier for Improved Partial-Hand Prosthesis Control

    National Research Council Canada - National Science Library

    Earley, Eric J; Hargrove, Levi J; Kuiken, Todd A

    2016-01-01

    Although partial-hand amputees largely retain the ability to use their wrist, it is difficult to preserve wrist motion while using a myoelectric partial-hand prosthesis without severely impacting control performance. Electromyogram (EMG...

  10. Hand Motion Detection in fNIRS Neuroimaging Data.

    Science.gov (United States)

    Abtahi, Mohammadreza; Amiri, Amir Mohammad; Byrd, Dennis; Mankodiya, Kunal

    2017-04-15

    As the number of people diagnosed with movement disorders is increasing, it becomes vital to design techniques that allow the better understanding of human brain in naturalistic settings. There are many brain imaging methods such as fMRI, SPECT, and MEG that provide the functional information of the brain. However, these techniques have some limitations including immobility, cost, and motion artifacts. One of the most emerging portable brain scanners available today is functional near-infrared spectroscopy (fNIRS). In this study, we have conducted fNIRS neuroimaging of seven healthy subjects while they were performing wrist tasks such as flipping their hand with the periods of rest (no movement). Different models of support vector machine is applied to these fNIRS neuroimaging data and the results show that we could classify the action and rest periods with the accuracy of over 80% for the fNIRS data of individual participants. Our results are promising and suggest that the presented classification method for fNIRS could further be applied to real-time applications such as brain computer interfacing (BCI), and into the future steps of this research to record brain activity from fNIRS and EEG, and fuse them with the body motion sensors to correlate the activities.

  11. Real-time simulation of hand motion for prosthesis control.

    Science.gov (United States)

    Blana, Dimitra; Chadwick, Edward K; van den Bogert, Antonie J; Murray, Wendy M

    2017-04-01

    Individuals with hand amputation suffer substantial loss of independence. Performance of sophisticated prostheses is limited by the ability to control them. To achieve natural and simultaneous control of all wrist and hand motions, we propose to use real-time biomechanical simulation to map between residual EMG and motions of the intact hand. Here we describe a musculoskeletal model of the hand using only extrinsic muscles to determine whether real-time performance is possible. Simulation is 1.3 times faster than real time, but the model is locally unstable. Methods are discussed to increase stability and make this approach suitable for prosthesis control.

  12. Hand Motion-Based Remote Control Interface with Vibrotactile Feedback for Home Robots

    Directory of Open Access Journals (Sweden)

    Juan Wu

    2013-06-01

    Full Text Available This paper presents the design and implementation of a hand-held interface system for the locomotion control of home robots. A handheld controller is proposed to implement hand motion recognition and hand motion-based robot control. The handheld controller can provide a ‘connect-and-play’ service for the users to control the home robot with visual and vibrotactile feedback. Six natural hand gestures are defined for navigating the home robots. A three-axis accelerometer is used to detect the hand motions of the user. The recorded acceleration data are analysed and classified to corresponding control commands according to their characteristic curves. A vibration motor is used to provide vibrotactile feedback to the user when an improper operation is performed. The performances of the proposed hand motion-based interface and the traditional keyboard and mouse interface have been compared in robot navigation experiments. The experimental results of home robot navigation show that the success rate of the handheld controller is 13.33% higher than the PC based controller. The precision of the handheld controller is 15.4% more than that of the PC and the execution time is 24.7% less than the PC based controller. This means that the proposed hand motion-based interface is more efficient and flexible.

  13. Effects of Age and Gender on Hand Motion Tasks

    Directory of Open Access Journals (Sweden)

    Wing Lok Au

    2015-01-01

    Full Text Available Objective. Wearable and wireless motion sensor devices have facilitated the automated computation of speed, amplitude, and rhythm of hand motion tasks. The aim of this study is to determine if there are any biological influences on these kinematic parameters. Methods. 80 healthy subjects performed hand motion tasks twice for each hand, with movements measured using a wireless motion sensor device (Kinesia, Cleveland Medical Devices Inc., Cleveland, OH. Multivariate analyses were performed with age, gender, and height added into the model. Results. Older subjects performed poorer in finger tapping (FT speed (r=0.593, p<0.001, hand-grasp (HG speed (r=0.517, p<0.001, and pronation-supination (PS speed (r=0.485, p<0.001. Men performed better in FT rhythm p<0.02, HG speed p<0.02, HG amplitude p<0.02, and HG rhythm p<0.05. Taller subjects performed better in the speed and amplitude components of FT p<0.02 and HG tasks p<0.02. After multivariate analyses, only age and gender emerged as significant independent factors influencing the speed but not the amplitude and rhythm components of hand motion tasks. Gender exerted an independent influence only on HG speed, with better performance in men p<0.05. Conclusions. Age, gender, and height are not independent factors influencing the amplitude and rhythm components of hand motion tasks. The speed component is affected by age and gender differences.

  14. Decisions in motion: passive body acceleration modulates hand choice.

    Science.gov (United States)

    Bakker, Romy S; Weijer, Roel H A; van Beers, Robert J; Selen, Luc P J; Medendorp, W Pieter

    2017-06-01

    In everyday life, we frequently have to decide which hand to use for a certain action. It has been suggested that for this decision the brain calculates expected costs based on action values, such as expected biomechanical costs, expected success rate, handedness, and skillfulness. Although these conclusions were based on experiments in stationary subjects, we often act while the body is in motion. We investigated how hand choice is affected by passive body motion, which directly affects the biomechanical costs of the arm movement due to its inertia. With the use of a linear motion platform, 12 right-handed subjects were sinusoidally translated (0.625 and 0.5 Hz). At 8 possible motion phases, they had to reach, using either their left or right hand, to a target presented at 1 of 11 possible locations. We predicted hand choice by calculating the expected biomechanical costs under different assumptions about the future acceleration involved in these computations, being the forthcoming acceleration during the reach, the instantaneous acceleration at target onset, or zero acceleration as if the body were stationary. Although hand choice was generally biased to use of the dominant hand, it also modulated sinusoidally with the motion, with the amplitude of the bias depending on the motion's peak acceleration. The phase of hand choice modulation was consistent with the cost model that took the instantaneous acceleration signal at target onset. This suggests that the brain relies on the bottom-up acceleration signals, and not on predictions about future accelerations, when deciding on hand choice during passive whole body motion.NEW & NOTEWORTHY Decisions of hand choice are a fundamental aspect of human behavior. Whereas these decisions are typically studied in stationary subjects, this study examines hand choice while subjects are in motion. We show that accelerations of the body, which differentially modulate the biomechanical costs of left and right hand movements, are

  15. Hand based visual intent recognition algorithm for wheelchair motion

    CSIR Research Space (South Africa)

    Luhandjula, T

    2010-05-01

    Full Text Available This paper describes an algorithm for a visual human-machine interface that infers a person’s intention from the motion of the hand. Work in progress shows a proof of concept tested on static images. The context for which this solution is intended...

  16. Grounding grammatical categories: attention bias in hand space influences grammatical congruency judgment of Chinese nominal classifiers.

    Science.gov (United States)

    Lobben, Marit; D'Ascenzo, Stefania

    2015-01-01

    Embodied cognitive theories predict that linguistic conceptual representations are grounded and continually represented in real world, sensorimotor experiences. However, there is an on-going debate on whether this also holds for abstract concepts. Grammar is the archetype of abstract knowledge, and therefore constitutes a test case against embodied theories of language representation. Former studies have largely focussed on lexical-level embodied representations. In the present study we take the grounding-by-modality idea a step further by using reaction time (RT) data from the linguistic processing of nominal classifiers in Chinese. We take advantage of an independent body of research, which shows that attention in hand space is biased. Specifically, objects near the hand consistently yield shorter RTs as a function of readiness for action on graspable objects within reaching space, and the same biased attention inhibits attentional disengagement. We predicted that this attention bias would equally apply to the graspable object classifier but not to the big object classifier. Chinese speakers (N = 22) judged grammatical congruency of classifier-noun combinations in two conditions: graspable object classifier and big object classifier. We found that RTs for the graspable object classifier were significantly faster in congruent combinations, and significantly slower in incongruent combinations, than the big object classifier. There was no main effect on grammatical violations, but rather an interaction effect of classifier type. Thus, we demonstrate here grammatical category-specific effects pertaining to the semantic content and by extension the visual and tactile modality of acquisition underlying the acquisition of these categories. We conclude that abstract grammatical categories are subjected to the same mechanisms as general cognitive and neurophysiological processes and may therefore be grounded.

  17. Grounding grammatical categories: attention bias in hand space influences grammatical congruency judgment of Chinese nominal classifiers

    Directory of Open Access Journals (Sweden)

    Marit eLobben

    2015-08-01

    Full Text Available Embodied cognitive theories predict that linguistic conceptual representations are grounded and continually represented in real world, sensorimotor experiences. However, there is an on-going debate on whether this also holds for abstract concepts. Grammar is the archetype of abstract knowledge, and therefore constitutes a test case against embodied theories of language representation. Former studies have largely focussed on lexical-level embodied representations. In the present study we take the grounding-by-modality idea a step further by using reaction time data from the linguistic processing of nominal classifiers in Chinese. We take advantage of an independent body of research, which shows that attention in hand space is biased. Specifically, objects near the hand consistently yield shorter reaction times as a function of readiness for action on graspable objects within reaching space, and the same biased attention inhibits attentional disengagement. We predicted that this attention bias would equally apply to the graspable object classifier but not to the big object classifier. Chinese speakers (N=21 judged grammatical congruency of classifier-noun combinations in two conditions: graspable object classifier and big object classifier. We found that RTs for the graspable object classifier were significantly faster in congruent combinations, and significantly slower in incongruent combinations, than the big object classifier. There was no main effect on grammatical violations, but rather an interaction effect of classifier type. Thus, we demonstrate here grammatical category-specific effects pertaining to the semantic content and by extension the visual and tactile modality of acquisition underlying the acquisition of these categories. We conclude that abstract grammatical categories are subjected to the same mechanisms as general cognitive and neurophysiological processes and may therefore be grounded.

  18. Working hand syndrome: A new definition of non-classified polyneuropathy condition.

    Science.gov (United States)

    Özdemir, Gökhan

    2017-06-01

    The aim of this paper was to define an unexplained non-classified polyneuropathy condition as a new neurological disease. This new diagnosis of occupation related polyneuropathy has been named as "WORKING HAND SYNDROME (WHS)."This study collected and compared clinic and electrophysiological analyze data from healthy controls, WHS patients, carpal tunnel syndrome (CTS) patients and polyneuropathy patients. The WHS patients presented to the clinic with pain, numbness, tingling, and burning sensations in their hands that increased significantly during rest and nighttime. However, there was no weakness in the muscles, and the deep tendon reflexes were normal in this disease. The patients had all been working in physically demanding jobs requiring the use of their hands/arms for at least 1 year, but no vibrating tools were used by the patients. All of the cases were men. I supposed that overload caused by an action repeated chronically by the hand/arm may impair the sensory nerves in mentioned hand/arm. In patients with these complaints, for a definitive diagnosis, similar diseases must be excluded. Nonetheless, the specific electrophysiological finding that the sural nerves are normal on the lower sides, as well as the occurrence of sensory axonal polyneuropathy in the sensory nerves without a significant effect on velocity and latency in the work-ups of the upper extremity are enough to make a diagnosis.In conclusion, WHS has been defined as a polyneuropathy and occupational disease. Patients with WHS present with pain, numbness, tingling, and burning sensations in their hands that increases significantly during rest and nighttime. They also use their arms/hands for jobs that require heavy labor. The neurological examinations of patients with WHS are normal. Only the sensory nerves in the upper extremities are affected. This article is suggested to serve as a resource for patients, health care professionals, and members of the neurology community at large.

  19. Human Hand Motion Analysis and Synthesis of Optimal Power Grasps for a Robotic Hand

    Directory of Open Access Journals (Sweden)

    Francesca Cordella

    2014-03-01

    Full Text Available Biologically inspired robotic systems can find important applications in biomedical robotics, since studying and replicating human behaviour can provide new insights into motor recovery, functional substitution and human-robot interaction. The analysis of human hand motion is essential for collecting information about human hand movements useful for generalizing reaching and grasping actions on a robotic system. This paper focuses on the definition and extraction of quantitative indicators for describing optimal hand grasping postures and replicating them on an anthropomorphic robotic hand. A motion analysis has been carried out on six healthy human subjects performing a transverse volar grasp. The extracted indicators point to invariant grasping behaviours between the involved subjects, thus providing some constraints for identifying the optimal grasping configuration. Hence, an optimization algorithm based on the Nelder-Mead simplex method has been developed for determining the optimal grasp configuration of a robotic hand, grounded on the aforementioned constraints. It is characterized by a reduced computational cost. The grasp stability has been tested by introducing a quality index that satisfies the form-closure property. The grasping strategy has been validated by means of simulation tests and experimental trials on an arm-hand robotic system. The obtained results have shown the effectiveness of the extracted indicators to reduce the non-linear optimization problem complexity and lead to the synthesis of a grasping posture able to replicate the human behaviour while ensuring grasp stability. The experimental results have also highlighted the limitations of the adopted robotic platform (mainly due to the mechanical structure to achieve the optimal grasp configuration.

  20. Hand Motion and Posture Recognition in a Network of Calibrated Cameras

    Directory of Open Access Journals (Sweden)

    Jingya Wang

    2017-01-01

    Full Text Available This paper presents a vision-based approach for hand gesture recognition which combines both trajectory and hand posture recognition. The hand area is segmented by fixed-range CbCr from cluttered and moving backgrounds and tracked by Kalman Filter. With the tracking results of two calibrated cameras, the 3D hand motion trajectory can be reconstructed. It is then modeled by dynamic movement primitives and a support vector machine is trained for trajectory recognition. Scale-invariant feature transform is employed to extract features on segmented hand postures, and a novel strategy for hand posture recognition is proposed. A gesture vector is introduced to recognize hand gesture as an entirety which combines the recognition results of motion trajectory and hand postures where a support vector machine is trained for gesture recognition based on gesture vectors.

  1. To Classify Spontaneous Motion Intention of Step Size by Using Cerebral Hemoglobin Information

    Directory of Open Access Journals (Sweden)

    Zhu Kai

    2017-01-01

    Full Text Available To improve the effect of walking-assistive devices, there is a need for it to develop devices controlled by spontaneous intention of patients. In recent study, we identified spontaneous motion intention of walking step based on cerebral hemoglobin information. Twenty healthy subjects performed walking tasks in three levels of step size (small, normal and large. According to distribution features of signals’ power spectral-density, six frequency bands (0-0.18Hz with an interval of 0.03Hz for each band width divided by applying wavelet packets decomposition were mainly analyzed. Feature vectors were extracted from the difference between oxygenated hemoglobin (oxyHb and deoxygenated hemoglobin (dexoyHb in different measuring channels in the six frequency bands. Support vector machine (SVM method was utilized to classify the three levels of step sizes. Mean recognition accuracy achieved up to 83.3%. The result indicated that it is possible to identify spontaneous walking by using cerebral hemoglobin information. This is helpful for enhancing the intelligence of walking-assistive devices and motivating the active control of patients, which further is profitable for enhancing self-confidence of patients.

  2. Decisions in motion: Passive body acceleration modulates hand choice

    NARCIS (Netherlands)

    Bakker, R.S.; Weijer, R.H.A.; Beers, R.J. van; Selen, L.P.J.; Medendorp, W.P.

    2017-01-01

    In everyday life, we frequently have to decide which hand to use for a certain action. It has been suggested that for this decision the brain calculates expected costs based on action values, such as expected biomechanical costs, expected success rate, handedness and skillfulness. While these

  3. Decisions in motion: passive body acceleration modulates hand choice

    NARCIS (Netherlands)

    Bakker, Romy S.; Weijer, R.H.A.; van Beers, R.J.; Selen, L.P.J.; Medendorp, W.P.

    2017-01-01

    n everyday life, we frequently have to decide which hand to use for a certain action. It has been suggested that for this decision the brain calculates expected costs based on action values, such as expected biomechanical costs, expected success rate, handedness, and skillfulness. Although these

  4. Hand/Eye Coordination For Fine Robotic Motion

    Science.gov (United States)

    Lokshin, Anatole M.

    1992-01-01

    Fine motions of robotic manipulator controlled with help of visual feedback by new method reducing position errors by order of magnitude. Robotic vision subsystem includes five cameras: three stationary ones providing wide-angle views of workspace and two mounted on wrist of auxiliary robot arm. Stereoscopic cameras on arm give close-up views of object and end effector. Cameras measure errors between commanded and actual positions and/or provide data for mapping between visual and manipulator-joint-angle coordinates.

  5. A Motion Analysis Protocol for Kinematic Assessment of Poly-Articulated Prosthetic Hands With Cosmetic Gloves.

    Science.gov (United States)

    Cutti, Andrea Giovanni; Cordella, Francesca; D'Amico, Giulia; Sacchetti, Rinaldo; Davalli, Angelo; Guglielmelli, Eugenio; Zollo, Loredana

    2017-10-13

    To provide upper-limb amputees with devices that best fit their needs and to test innovative solutions, it is necessary to quantitatively appraise a device performance with rigorous measurement methods. The aim of this work was to define an optimal motion analysis protocol, suitable for optoelectronic systems, to measure the kinematics of poly-articulated hands even when covered by a cosmetic glove. This is a fundamental aspect, because gloves can decrease device speed and range of motion and, ultimately, patients' acceptance of the artificial limb. In this work, different mathematical models of the joints and marker-sets for motion analysis were conceived. A regression model to choose a reduced marker-set for studying the hand performance with different cosmetic glove models was developed. The proposed approaches for finger motion analysis were experimentally tested on the index finger of the i-Limb, a commercial myoelectric poly-articulated prosthetic hand, but the results can be easily extended to the whole hand and to other poly-articulated prosthetic hands. The methods proposed for the performance analysis of prosthetic hands points out that the cosmetic gloves imply a reduction of the finger flexion/extension (F/E) angles and of the motion velocity. This draws attention to the need for performing independent cyclic tests on commercial products with various cosmetic solutions to better guide component selection. © 2017 International Center for Artificial Organs and Transplantation and Wiley Periodicals, Inc.

  6. Handwriting Recognition in Free Space Using WIMU-Based Hand Motion Analysis

    Directory of Open Access Journals (Sweden)

    Shashidhar Patil

    2016-01-01

    Full Text Available We present a wireless-inertial-measurement-unit- (WIMU- based hand motion analysis technique for handwriting recognition in three-dimensional (3D space. The proposed handwriting recognition system is not bounded by any limitations or constraints; users have the freedom and flexibility to write characters in free space. It uses hand motion analysis to segment hand motion data from a WIMU device that incorporates magnetic, angular rate, and gravity sensors (MARG and a sensor fusion algorithm to automatically distinguish segments that represent handwriting from nonhandwriting data in continuous hand motion data. Dynamic time warping (DTW recognition algorithm is used to recognize handwriting in real-time. We demonstrate that a user can freely write in air using an intuitive WIMU as an input and hand motion analysis device to recognize the handwriting in 3D space. The experimental results for recognizing handwriting in free space show that the proposed method is effective and efficient for other natural interaction techniques, such as in computer games and real-time hand gesture recognition applications.

  7. An Enhanced Intelligent Handheld Instrument with Visual Servo Control for 2-DOF Hand Motion Error Compensation

    Directory of Open Access Journals (Sweden)

    Yan Naing Aye

    2013-10-01

    Full Text Available The intelligent handheld instrument, ITrem2, enhances manual positioning accuracy by cancelling erroneous hand movements and, at the same time, provides automatic micromanipulation functions. Visual data is acquired from a high speed monovision camera attached to the optical surgical microscope and acceleration measurements are acquired from the inertial measurement unit (IMU on board ITrem2. Tremor estimation and canceling is implemented via Band-limited Multiple Fourier Linear Combiner (BMFLC filter. The piezoelectric actuated micromanipulator in ITrem2 generates the 3D motion to compensate erroneous hand motion. Preliminary bench-top 2-DOF experiments have been conducted. The error motions simulated by a motion stage is reduced by 67% for multiple frequency oscillatory motions and 56.16% for pre-conditioned recorded physiological tremor.

  8. A video-based system for hand-driven stop-motion animation.

    Science.gov (United States)

    Han, Xiaoguang; Fu, Hongbo; Zheng, Hanlin; Liu, Ligang; Wang, Jue

    2013-01-01

    Stop-motion is a well-established animation technique but is often laborious and requires craft skills. A new video-based system can animate the vast majority of everyday objects in stop-motion style, more flexibly and intuitively. Animators can perform and capture motions continuously instead of breaking them into increments and shooting one still picture per increment. More important, the system permits direct hand manipulation without resorting to rigs, achieving more natural object control for beginners. The system's key component is two-phase keyframe-based capturing and processing, assisted by computer vision techniques. With this system, even amateurs can generate high-quality stop-motion animations.

  9. Entropic Movement Complexity Reflects Subjective Creativity Rankings of Visualized Hand Motion Trajectories

    Science.gov (United States)

    Peng, Zhen; Braun, Daniel A.

    2015-01-01

    In a previous study we have shown that human motion trajectories can be characterized by translating continuous trajectories into symbol sequences with well-defined complexity measures. Here we test the hypothesis that the motion complexity individuals generate in their movements might be correlated to the degree of creativity assigned by a human observer to the visualized motion trajectories. We asked participants to generate 55 novel hand movement patterns in virtual reality, where each pattern had to be repeated 10 times in a row to ensure reproducibility. This allowed us to estimate a probability distribution over trajectories for each pattern. We assessed motion complexity not only by the previously proposed complexity measures on symbolic sequences, but we also propose two novel complexity measures that can be directly applied to the distributions over trajectories based on the frameworks of Gaussian Processes and Probabilistic Movement Primitives. In contrast to previous studies, these new methods allow computing complexities of individual motion patterns from very few sample trajectories. We compared the different complexity measures to how a group of independent jurors rank ordered the recorded motion trajectories according to their personal creativity judgment. We found three entropic complexity measures that correlate significantly with human creativity judgment and discuss differences between the measures. We also test whether these complexity measures correlate with individual creativity in divergent thinking tasks, but do not find any consistent correlation. Our results suggest that entropic complexity measures of hand motion may reveal domain-specific individual differences in kinesthetic creativity. PMID:26733896

  10. Entropic movement complexity reflects subjective creativity rankings of visualized hand motion trajectories

    Directory of Open Access Journals (Sweden)

    Zhen ePeng

    2015-12-01

    Full Text Available In a previous study we have shown that human motion trajectories can be characterized by translating continuous trajectories into symbol sequences with well-defined complexity measures. Here we test the hypothesis that the motion complexity individuals generate in their movements might be correlated to the degree of creativity assigned by a human observer to the visualized motion trajectories. We asked participants to generate fifty-five novel hand movement patterns in virtual reality, where each pattern had to be repeated ten times in a row to ensure reproducibility. This allowed us to estimate a probability distribution over trajectories for each pattern. We assessed motion complexity not only by the previously proposed complexity measures on symbolic sequences, but we also propose two novel complexity measures that can be directly applied to the distributions over trajectories based on the frameworks of Gaussian Processes and Probabilistic Movement Primitives. In contrast to previous studies, these new methods allow computing complexities of individual motion patterns from very few sample trajectories. We compared the different complexity measures to how a group of independent jurors rank ordered the recorded motion trajectories according to their personal creativity judgment. We found three entropic complexity measures that correlate significantly with human creativity judgment and discuss differences between the measures. We also test whether these complexity measures correlate with individual creativity in divergent thinking tasks, but do not find any consistent correlation. Our results suggest that entropic complexity measures of hand motion may reveal domain-specific individual differences in kinesthetic creativity.

  11. The effects of wrist motion and hand orientation on muscle forces: A physiologic wrist simulator study.

    Science.gov (United States)

    Shah, Darshan S; Middleton, Claire; Gurdezi, Sabahat; Horwitz, Maxim D; Kedgley, Angela E

    2017-07-26

    Although the orientations of the hand and forearm vary for different wrist rehabilitation protocols, their effect on muscle forces has not been quantified. Physiologic simulators enable a biomechanical evaluation of the joint by recreating functional motions in cadaveric specimens. Control strategies used to actuate joints in physiologic simulators usually employ position or force feedback alone to achieve optimum load distribution across the muscles. After successful tests on a phantom limb, unique combinations of position and force feedback - hybrid control and cascade control - were used to simulate multiple cyclic wrist motions of flexion-extension, radioulnar deviation, dart thrower's motion, and circumduction using six muscles in ten cadaveric specimens. Low kinematic errors and coefficients of variation of muscle forces were observed for planar and complex wrist motions using both novel control strategies. The effect of gravity was most pronounced when the hand was in the horizontal orientation, resulting in higher extensor forces (pforces were also affected by the direction of rotation during circumduction. The peak force of flexor carpi radialis was higher in clockwise circumduction (p=0.017), while that of flexor carpi ulnaris was higher in anticlockwise circumduction (p=0.013). Thus, the physiologic wrist simulator accurately replicated cyclic planar and complex motions in cadaveric specimens. Moreover, the dependence of muscle forces on the hand orientation and the direction of circumduction could be vital in the specification of such parameters during wrist rehabilitation. Copyright © 2017 The Author(s). Published by Elsevier Ltd.. All rights reserved.

  12. Teleoperation of a robot manipulator from 3D human hand-arm motion

    Science.gov (United States)

    Kofman, Jonathan; Verma, Siddharth; Wu, Xianghai; Luu, Timothy

    2003-10-01

    The control of a robot manipulator by a human operator is often necessary in unstructured dynamic environments with unfamiliar objects. Remote teleoperation is required when human presence at the robot site is undesirable or difficult, such as in handling hazardous materials and operating in dangerous or inaccessible environments. Previous approaches have employed mechanical or other contacting interfaces which require unnatural motions for object manipulation tasks or hinder dexterous human motion. This paper presents a non-contacting method of teleoperating a robot manipulator by having the human operator perform the 3D human hand-arm motion that would naturally be used to compete an object manipulation task and tracking the motion with a stereo-camera system at a local site. The 3D human hand-arm motion is reconstructed at the remote robot site and is used to control the position and orientation of the robot manipulator end-effector in real-time. Images captured of the robot interacting with objects at the remote site provide visual feedback to the human operator. Tests in teleoperation of the robot manipulator have demonstrated the ability of the human to carry out object manipulator tasks remotely and the teleoperated robot manipulator system to copy human-arm motions in real-time.

  13. Integration Head Mounted Display Device and Hand Motion Gesture Device for Virtual Reality Laboratory

    Science.gov (United States)

    Rengganis, Y. A.; Safrodin, M.; Sukaridhoto, S.

    2018-01-01

    Virtual Reality Laboratory (VR Lab) is an innovation for conventional learning media which show us whole learning process in laboratory. There are many tools and materials are needed by user for doing practical in it, so user could feel new learning atmosphere by using this innovation. Nowadays, technologies more sophisticated than before. So it would carry in education and it will be more effective, efficient. The Supported technologies are needed us for making VR Lab such as head mounted display device and hand motion gesture device. The integration among them will be used us for making this research. Head mounted display device for viewing 3D environment of virtual reality laboratory. Hand motion gesture device for catching user real hand and it will be visualized in virtual reality laboratory. Virtual Reality will show us, if using the newest technologies in learning process it could make more interesting and easy to understand.

  14. Biodynamics. Influence of gender, power, and hand position on pelvic motion during seated cycling.

    Science.gov (United States)

    Sauer, Julie L; Potter, James J; Weisshaar, Christine L; Ploeg, Heidi-Lynn; Thelen, Darryl G

    2007-12-01

    An understanding of normal pelvic motion during seated cycling is relevant to saddle design and bicycle fitting. In this study, we investigated the effects of gender, power, and hand position on pelvic motion throughout a pedal stroke. We also investigated whether anthropometric factors could explain any interindividual differences observed. Twelve experienced male and 14 experienced female cyclists participated. Each subject was custom fitted to a stationary bicycle and then rode the bicycle at three power outputs (100, 150, and 200 W), with their hands in the tops and drops position. The kinematics of a triad of motion-capture markers, located on posterior pelvic landmarks, were used to characterize pelvic motion. The largest angular excursions were observed in the nonsagittal planes, with the pelvis rotating internally (approximately 3 degrees ) and rolling laterally ( approximately 2 degrees ) toward the downstroke. These pelvic rotations caused the hip on the downstroke side to translate anteriorly and inferiorly. Compared with males, females exhibited greater average anterior pelvic tilt in the drops hand position (males: 21 +/- 3 degrees ; females: 24 +/- 4 degrees ; P = 0.036). Interindividual differences in pelvic motion could not be independently explained by measures of ischial tuberosity width or hamstring flexibility. However, average anterior pelvic tilt was negatively correlated with lumbar flexibility among the males (r = 0.75; P = 0.024), suggesting that this may be an important factor to consider in bicycle fitting. We observed substantial pelvic motion during seated cycling, with experienced female road cyclists exhibiting greater average anterior tilt than their male counterparts. Pelvic motion seems to arise naturally during seated cycling and should be considered when designing saddles and establishing bicycle-fitting procedures.

  15. Smart Sensor-Based Motion Detection System for Hand Movement Training in Open Surgery.

    Science.gov (United States)

    Sun, Xinyao; Byrns, Simon; Cheng, Irene; Zheng, Bin; Basu, Anup

    2017-02-01

    We introduce a smart sensor-based motion detection technique for objective measurement and assessment of surgical dexterity among users at different experience levels. The goal is to allow trainees to evaluate their performance based on a reference model shared through communication technology, e.g., the Internet, without the physical presence of an evaluating surgeon. While in the current implementation we used a Leap Motion Controller to obtain motion data for analysis, our technique can be applied to motion data captured by other smart sensors, e.g., OptiTrack. To differentiate motions captured from different participants, measurement and assessment in our approach are achieved using two strategies: (1) low level descriptive statistical analysis, and (2) Hidden Markov Model (HMM) classification. Based on our surgical knot tying task experiment, we can conclude that finger motions generated from users with different surgical dexterity, e.g., expert and novice performers, display differences in path length, number of movements and task completion time. In order to validate the discriminatory ability of HMM for classifying different movement patterns, a non-surgical task was included in our analysis. Experimental results demonstrate that our approach had 100 % accuracy in discriminating between expert and novice performances. Our proposed motion analysis technique applied to open surgical procedures is a promising step towards the development of objective computer-assisted assessment and training systems.

  16. To Classify Spontaneous Motion Intention of Step Size by Using Cerebral Hemoglobin Information

    OpenAIRE

    Zhu Kai; Li Chun-Guang; Jin Hedian; Li Juan; Hu Haiyan; Sun Lining; Qu Wei

    2017-01-01

    To improve the effect of walking-assistive devices, there is a need for it to develop devices controlled by spontaneous intention of patients. In recent study, we identified spontaneous motion intention of walking step based on cerebral hemoglobin information. Twenty healthy subjects performed walking tasks in three levels of step size (small, normal and large). According to distribution features of signals’ power spectral-density, six frequency bands (0-0.18Hz with an interval of 0.03Hz for ...

  17. A neural network-based electromyography motion classifier for upper limb activities

    Directory of Open Access Journals (Sweden)

    Karan Veer

    2016-11-01

    Full Text Available The objective of the work is to investigate the classification of different movements based on the surface electromyogram (SEMG pattern recognition method. The testing was conducted for four arm movements using several experiments with artificial neural network classification scheme. Six time domain features were extracted and consequently classification was implemented using back propagation neural classifier (BPNC. Further, the realization of projected network was verified using cross validation (CV process; hence ANOVA algorithm was carried out. Performance of the network is analyzed by considering mean square error (MSE value. A comparison was performed between the extracted features and back propagation network results reported in the literature. The concurrent result indicates the significance of proposed network with classification accuracy (CA of 100% recorded from two channels, while analysis of variance technique helps in investigating the effectiveness of classified signal for recognition tasks.

  18. Motion

    CERN Document Server

    Graybill, George

    2007-01-01

    Take the mystery out of motion. Our resource gives you everything you need to teach young scientists about motion. Students will learn about linear, accelerating, rotating and oscillating motion, and how these relate to everyday life - and even the solar system. Measuring and graphing motion is easy, and the concepts of speed, velocity and acceleration are clearly explained. Reading passages, comprehension questions, color mini posters and lots of hands-on activities all help teach and reinforce key concepts. Vocabulary and language are simplified in our resource to make them accessible to str

  19. Effectiveness of adaptive silverware on range of motion of the hand

    Directory of Open Access Journals (Sweden)

    Susan S. McDonald

    2016-02-01

    Full Text Available Background. Hand function is essential to a person’s self-efficacy and greatly affects quality of life. Adapted utensils with handles of increased diameters have historically been used to assist individuals with arthritis or other hand disabilities for feeding, and other related activities of daily living. To date, minimal research has examined the biomechanical effects of modified handles, or quantified the differences in ranges of motion (ROM when using a standard versus a modified handle. The aim of this study was to quantify the ranges of motion (ROM required for a healthy hand to use different adaptive spoons with electrogoniometry for the purpose of understanding the physiologic advantages that adapted spoons may provide patients with limited ROM. Methods. Hand measurements included the distal interphalangeal joint (DIP, proximal interphalangeal joint (PIP, and metacarpophalangeal joint (MCP for each finger and the interphalangeal (IP and MCP joint for the thumb. Participants were 34 females age 18–30 (mean age 20.38 ± 1.67 with no previous hand injuries or abnormalities. Participants grasped spoons with standard handles, and spoons with handle diameters of 3.18 cm (1.25 inch, and 4.45 cm (1.75 inch. ROM measurements were obtained with an electrogoniometer to record the angle at each joint for each of the spoon handle sizes. Results. A 3 × 3 × 4 repeated measures ANOVA (Spoon handle size by Joint by Finger found main effects on ROM of Joint (F(2, 33 = 318.68, Partial η2 = .95, p < .001, Spoon handle size (F(2, 33 = 598.73, Partial η2 = .97, p < .001, and Finger (F(3, 32 = 163.83, Partial η2 = .94, p < .001. As the spoon handle diameter size increased, the range of motion utilized to grasp the spoon handle decreased in all joints and all fingers (p < 0.01. Discussion. This study confirms the hypothesis that less range of motion is required to grip utensils with larger diameter handles, which in turn may reduce challenges for

  20. A Non-Contact Measurement System for the Range of Motion of the Hand

    Directory of Open Access Journals (Sweden)

    Trieu Pham

    2015-07-01

    Full Text Available An accurate and standardised tool to measure the active range of motion (ROM of the hand is essential to any progressive assessment scenario in hand therapy practice. Goniometers are widely used in clinical settings for measuring the ROM of the hand. However, such measurements have limitations with regard to inter-rater and intra-rater reliability and involve direct physical contact with the hand, possibly increasing the risk of transmitting infections. The system proposed in this paper is the first non-contact measurement system utilising Intel Perceptual Technology and a Senz3D Camera for measuring phalangeal joint angles. To enhance the accuracy of the system, we developed a new approach to achieve the total active movement without measuring three joint angles individually. An equation between the actual spacial position and measurement value of the proximal inter-phalangeal joint was established through the measurement values of the total active movement, so that its actual position can be inferred. Verified by computer simulations, experimental results demonstrated a significant improvement in the calculation of the total active movement and successfully recovered the actual position of the proximal inter-phalangeal joint angles. A trial that was conducted to examine the clinical applicability of the system involving 40 healthy subjects confirmed the practicability and consistency in the proposed system. The time efficiency conveyed a stronger argument for this system to replace the current practice of using goniometers.

  1. The scaling behavior of hand motions reveals self-organization during an executive function task

    Science.gov (United States)

    Anastas, Jason R.; Stephen, Damian G.; Dixon, James A.

    2011-05-01

    Recent approaches to cognition explain cognitive phenomena in terms of interaction-dominant dynamics. In the current experiment, we extend this approach to executive function, a construct used to describe flexible, goal-oriented behavior. Participants were asked to perform a widely used executive function task, card sorting, under two conditions. In one condition, participants were given a rule with which to sort the cards. In the other condition, participants had to induce the rule from experimenter feedback. The motion of each participant’s hand was tracked during the sorting task. Detrended fluctuation analysis was performed on the inter-point time series using a windowing strategy to capture changes over each trial. For participants in the induction condition, the Hurst exponent sharply increased and then decreased. The Hurst exponents for the explicit condition did not show this pattern. Our results suggest that executive function may be understood in terms of changes in stability that arise from interaction-dominant dynamics.

  2. Kinematic property of target motion conditions gaze behavior and eye-hand synergy during manual tracking.

    Science.gov (United States)

    Huang, Chien-Ting; Hwang, Ing-Shiou

    2013-12-01

    This study investigated how frequency demand and motion feedback influenced composite ocular movements and eye-hand synergy during manual tracking. Fourteen volunteers conducted slow and fast force-tracking in which targets were displayed in either line-mode or wave-mode to guide manual tracking with target movement of direct position or velocity nature. The results showed that eye-hand synergy was a selective response of spatiotemporal coupling conditional on target rate and feedback mode. Slow and line-mode tracking exhibited stronger eye-hand coupling than fast and wave-mode tracking. Both eye movement and manual action led the target signal during fast-tracking, while the latency of ocular navigation during slow-tracking depended on the feedback mode. Slow-tracking resulted in more saccadic responses and larger pursuit gains than fast-tracking. Line-mode tracking led to larger pursuit gains but fewer and shorter gaze fixations than wave-mode tracking. During slow-tracking, incidences of saccade and gaze fixation fluctuated across a target cycle, peaking at velocity maximum and the maximal curvature of target displacement, respectively. For line-mode tracking, the incidence of smooth pursuit was phase-dependent, peaking at velocity maximum as well. Manual behavior of slow or line-mode tracking was better predicted by composite eye movements than that of fast or wave-mode tracking. In conclusion, manual tracking relied on versatile visual strategies to perceive target movements of different kinematic properties, which suggested a flexible coordinative control for the ocular and manual sensorimotor systems. Copyright © 2013 Elsevier B.V. All rights reserved.

  3. Clinical effectiveness of combined virtual reality and robot assisted fine hand motion rehabilitation in subacute stroke patients.

    Science.gov (United States)

    Huang, Xianwei; Naghdy, Fazel; Naghdy, Golshah; Du, Haiping

    2017-07-01

    Robot-assisted therapy is regarded as an effective and reliable method for the delivery of highly repetitive rehabilitation training in restoring motor skills after a stroke. This study focuses on the rehabilitation of fine hand motion skills due to their vital role in performing delicate activities of daily living (ADL) tasks. The proposed rehabilitation system combines an adaptive assist-as-needed (AAN) control algorithm and a Virtual Reality (VR) based rehabilitation gaming system (RGS). The developed system is described and its effectiveness is validated through clinical trials on a group of eight subacute stroke patients for a period of six weeks. The impact of the training is verified through standard clinical evaluation methods and measuring key kinematic parameters. A comparison of the pre- and post-training results indicates that the method proposed in this study can improve fine hand motion rehabilitation training effectiveness.

  4. The Effect of Kinesio Taping on Handgrip and Active Range of Motion of Hand in Children with Cerebral Palsy.

    Science.gov (United States)

    Allah RASTIl, Zabih; Shamsoddini, Alireza; Dalvand, Hamid; Labaf, Sina

    2017-01-01

    Kinesio taping is a relatively new technique, which uses in rehabilitation of neurologic diseases. The aim of this study was to investigate the effects of Kinesio taping on hand grip and active range of motion of hand in children with cerebral palsy (CP). In this experimental study with pre-test and three post-tests, 32 children with CP randomly were placed in experimental (n=17) and control group (n=15).Kinesio taping was applied on dorsum of forearm and hand. Evaluation was performed initially, two days after taping and two days after tape removal. Goniometer was used to evaluate active range of motion of wrist extension. In addition, vigorimeter was used to evaluate of grip strength. In pre-test, there was no difference between groups but in post-tests; initially after application of taping with P Kinesio taping in neurorehabilitation of children with CP can be a useful option to promote power or grip strength and active range of motion of wrist and thumb.

  5. Reliability and Validity of Electro-Goniometric Range of Motion Measurements in Patients with Hand and Wrist Limitations.

    Science.gov (United States)

    Bashardoust Tajali, Siamak; MacDermid, Joy C; Grewal, Ruby; Young, Chris

    2016-01-01

    Cross-sectional reliability and validity study. 1. To determine intrarater, interrater and inter instrument reliabilities and validity of two digital electro goniometry to measure active wrist/finger range of motions (ROMs) in patients with limited motion. 2. To determine intrarater and interrater reliabilities of digital goniometry to measure torques of PIP passive flexion of the index finger in patients with limited motion. The study was designed in a randomized block plan on 44 patients (24 women, 20 men) with limited wrist or hand motions. Two experienced raters measured active wrist ROMs, and active and passive index PIP flexion using two digital goniometers. All measures were repeated by one rater 2-5 days after the initial measurements. The reliability measures were analyzed using Intraclass Correlation Coefficients (ICCs) and the construct validity was determined by correlation coefficients analysis between sub measures of scores; patient rated pain and function (PRWE) and quick Disabilities of the Arm, Shoulder and Hand (quick DASH) scores. The intrarater, interrater and inter instrument reliabilities were high in most ROM measures (range 0.64-0.97) for both types of electro-goniometers. The 95% limit of agreements and Bland and Altman plots did not show progressive changes. There was a significant difference in force application between the raters when performing passive ROM measures for PIP index, but the same rater produced consistent force. Most of the NK and J-Tech ROM measures were moderately correlated with the patient rated pain and function scores (range 0.32-0.63).

  6. Quality control of structural MRI images applied using FreeSurfer - a hands-on workflow to rate motion artifacts

    Directory of Open Access Journals (Sweden)

    Lea Luise Backhausen

    2016-12-01

    Full Text Available In structural magnetic resonance imaging motion artifacts are common, especially when not scanning healthy young adults. It has been shown that motion affects the analysis with automated image-processing techniques (e.g. FreeSurfer. This can bias results. Several developmental and adult studies have found reduced volume and thickness of gray matter due to motion artifacts. Thus, quality control is necessary in order to ensure an acceptable level of quality and to define exclusion criteria of images (i.e. determine participants with most severe artifacts. However, information about the quality control workflow and image exclusion procedure is largely lacking in the current literature and the existing rating systems differ. Here we propose a stringent workflow of quality control steps during and after acquisition of T1-weighted images, which enables researchers dealing with populations that are typically affected by motion artifacts to enhance data quality and maximize sample sizes. As an underlying aim we established a thorough quality control rating system for T1-weighted images and applied it to the analysis of developmental clinical data using the automated processing pipeline FreeSurfer. This hands-on workflow and quality control rating system will aid researchers in minimizing motion artifacts in the final data set, and therefore enhance the quality of structural magnetic resonance imaging studies.

  7. Modular finger and hand motion capturing system based on inertial and magnetic sensors

    Directory of Open Access Journals (Sweden)

    Valtin Markus

    2017-03-01

    Full Text Available The assessment of hand posture and kinematics is increasingly important in various fields. This includes the rehabilitation of stroke survivors with restricted hand function. This paper presents a modular, ambulatory measurement system for the assement of the remaining hand function and for closed-loop controlled therapy. The device is based on inertial sensors and utilizes up to five interchangeable sensor strips to achieve modularity and to simplify the sensor attachment. We introduce the modular hardware design and describe algorithms used to calculate the joint angles. Measurements with two experimental setups demonstrate the feasibility and the potential of such a tracking device.

  8. A motion-tolerant approach for monitoring SpO2and heart rate using photoplethysmography signal with dual frame length processing and multi-classifier fusion.

    Science.gov (United States)

    Fan, Feiyi; Yan, Yuepeng; Tang, Yongzhong; Zhang, Hao

    2017-12-01

    Monitoring pulse oxygen saturation (SpO 2 ) and heart rate (HR) using photoplethysmography (PPG) signal contaminated by a motion artifact (MA) remains a difficult problem, especially when the oximeter is not equipped with a 3-axis accelerometer for adaptive noise cancellation. In this paper, we report a pioneering investigation on the impact of altering the frame length of Molgedey and Schuster independent component analysis (ICAMS) on performance, design a multi-classifier fusion strategy for selecting the PPG correlated signal component, and propose a novel approach to extract SpO 2 and HR readings from PPG signal contaminated by strong MA interference. The algorithm comprises multiple stages, including dual frame length ICAMS, a multi-classifier-based PPG correlated component selector, line spectral analysis, tree-based HR monitoring, and post-processing. Our approach is evaluated by multi-subject tests. The root mean square error (RMSE) is calculated for each trial. Three statistical metrics are selected as performance evaluation criteria: mean RMSE, median RMSE and the standard deviation (SD) of RMSE. The experimental results demonstrate that a shorter ICAMS analysis window probably results in better performance in SpO 2 estimation. Notably, the designed multi-classifier signal component selector achieved satisfactory performance. The subject tests indicate that our algorithm outperforms other baseline methods regarding accuracy under most criteria. The proposed work can contribute to improving the performance of current pulse oximetry and personal wearable monitoring devices. Copyright © 2017 Elsevier Ltd. All rights reserved.

  9. A Hands-on Exploration of the Retrograde Motion of Mars as Seen from the Earth

    Science.gov (United States)

    Pincelli, M. M.; Otranto, S.

    2013-01-01

    In this paper, we propose a set of activities based on the use of a celestial simulator to gain insights into the retrograde motion of Mars as seen from the Earth. These activities provide a useful link between the heliocentric concepts taught in schools and those tackled in typical introductory physics courses based on classical mechanics for…

  10. Growing in Motion: The Circulation of Used Things on Second-hand Markets

    Directory of Open Access Journals (Sweden)

    Staffan Appelgren

    2015-03-01

    Full Text Available From having been associated with poverty and low status, the commerce with second-hand goods in retro shops, flea markets, vintage boutiques and trade via Internet is expanding in Sweden as in many countries in the Global North. This article argues that a significant aspect of the recent interest in second-hand and reuse concerns the meaning fulness of circulation in social life. Using classic anthropological theory on how the circulation of material culture generates sociality, it focuses on how second-hand things are transformed by their circulation. Rather than merely having cultural biographies, second-hand things are reconfigured through their shifts between different social contexts in a process that here is understood as a form of growing. Similar to that of an organism, this growth is continuous, irreversible and dependent on forces both internal and external to it. What emerges is a category of things that combine elements of both commodities and gifts, as these have been theorized within anthropology. While first cycle commodities are purified of their sociality, the hybrid second-hand thing derives its ontological status as well as social and commercial value precisely from retaining "gift qualities", produced by its circulation.

  11. When eyes drive hand: Influence of non-biological motion on visuo-motor coupling.

    Science.gov (United States)

    Thoret, Etienne; Aramaki, Mitsuko; Bringoux, Lionel; Ystad, Sølvi; Kronland-Martinet, Richard

    2016-01-26

    Many studies stressed that the human movement execution but also the perception of motion are constrained by specific kinematics. For instance, it has been shown that the visuo-manual tracking of a spotlight was optimal when the spotlight motion complies with biological rules such as the so-called 1/3 power law, establishing the co-variation between the velocity and the trajectory curvature of the movement. The visual or kinesthetic perception of a geometry induced by motion has also been shown to be constrained by such biological rules. In the present study, we investigated whether the geometry induced by the visuo-motor coupling of biological movements was also constrained by the 1/3 power law under visual open loop control, i.e. without visual feedback of arm displacement. We showed that when someone was asked to synchronize a drawing movement with a visual spotlight following a circular shape, the geometry of the reproduced shape was fooled by visual kinematics that did not respect the 1/3 power law. In particular, elliptical shapes were reproduced when the circle is trailed with a kinematics corresponding to an ellipse. Moreover, the distortions observed here were larger than in the perceptual tasks stressing the role of motor attractors in such a visuo-motor coupling. Finally, by investigating the direct influence of visual kinematics on the motor reproduction, our result conciliates previous knowledge on sensorimotor coupling of biological motions with external stimuli and gives evidence to the amodal encoding of biological motion. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

  12. Task-irrelevant sounds influence both temporal order and apparent-motion judgments about tactile stimuli applied to crossed and uncrossed hands.

    Science.gov (United States)

    Badde, Stephanie; Röder, Brigitte; Bruns, Patrick

    2017-12-27

    It has been suggested that judgments about the temporal-spatial order of successive tactile stimuli depend on the perceived direction of apparent motion between them. Here we manipulated tactile apparent-motion percepts by presenting a brief, task-irrelevant auditory stimulus temporally in-between pairs of tactile stimuli. The tactile stimuli were applied one to each hand, with varying stimulus onset asynchronies (SOAs). Participants reported the location of the first stimulus (temporal order judgments: TOJs) while adopting both crossed and uncrossed hand postures, so we could scrutinize skin-based, anatomical, and external reference frames. With crossed hands, the sound improved TOJ performance at short (≤300 ms) and at long (>300 ms) SOAs. When the hands were uncrossed, the sound induced a decrease in TOJ performance, but only at short SOAs. A second experiment confirmed that the auditory stimulus indeed modulated tactile apparent motion perception under these conditions. Perceived apparent motion directions were more ambiguous with crossed than with uncrossed hands, probably indicating competing spatial codes in the crossed posture. However, irrespective of posture, the additional sound tended to impair potentially anatomically coded motion direction discrimination at a short SOA of 80 ms, but it significantly enhanced externally coded apparent motion perception at a long SOA of 500 ms. Anatomically coded motion signals imply incorrect TOJ responses with crossed hands, but correct responses when the hands are uncrossed; externally coded motion signals always point toward the correct TOJ response. Thus, taken together, these results suggest that apparent-motion signals are likely taken into account when tactile temporal-spatial information is reconstructed.

  13. Comparative Study on Interaction of Form and Motion Processing Streams by Applying Two Different Classifiers in Mechanism for Recognition of Biological Movement

    Directory of Open Access Journals (Sweden)

    Bardia Yousefi

    2014-01-01

    Full Text Available Research on psychophysics, neurophysiology, and functional imaging shows particular representation of biological movements which contains two pathways. The visual perception of biological movements formed through the visual system called dorsal and ventral processing streams. Ventral processing stream is associated with the form information extraction; on the other hand, dorsal processing stream provides motion information. Active basic model (ABM as hierarchical representation of the human object had revealed novelty in form pathway due to applying Gabor based supervised object recognition method. It creates more biological plausibility along with similarity with original model. Fuzzy inference system is used for motion pattern information in motion pathway creating more robustness in recognition process. Besides, interaction of these paths is intriguing and many studies in various fields considered it. Here, the interaction of the pathways to get more appropriated results has been investigated. Extreme learning machine (ELM has been implied for classification unit of this model, due to having the main properties of artificial neural networks, but crosses from the difficulty of training time substantially diminished in it. Here, there will be a comparison between two different configurations, interactions using synergetic neural network and ELM, in terms of accuracy and compatibility.

  14. Real Time Hand Motion Reconstruction System for Trans-Humeral Amputees Using EEG and EMG

    Directory of Open Access Journals (Sweden)

    Jacobo Fernandez-Vargas

    2016-08-01

    Full Text Available Predicting a hand’s position using only biosignals is a complex problem that has not been completely solved. The only reliable solutions currently available require invasive surgery. The attempts using non-invasive technologies are rare, and usually have led to lower correlation values between the real and the reconstructed position than those required for real-world applications. In this study, we propose a solution for reconstructing the hand’s position in three dimensions using EEG and EMG to detect from the shoulder area. This approach would be valid for most trans-humeral amputees. In order to find the best solution, we tested four different architectures for the system based on artificial neural networks. Our results show that it is possible to reconstruct the hand’s motion trajectory with a correlation value up to 0.809 compared to a typical value in the literature of 0.6. We also demonstrated that both EEG and EMG contribute jointly to the motion reconstruction. Furthermore, we discovered that the system architectures do not change the results radically. In addition, our results suggest that different motions may have different brain activity patterns that could be detected through EEG. Finally, we suggest a method to study non-linear relations in the brain through the EEG signals, which may lead to a more accurate system.

  15. Design of a compact low-power human-computer interaction equipment for hand motion

    Science.gov (United States)

    Wu, Xianwei; Jin, Wenguang

    2017-01-01

    Human-Computer Interaction (HCI) raises demand of convenience, endurance, responsiveness and naturalness. This paper describes a design of a compact wearable low-power HCI equipment applied to gesture recognition. System combines multi-mode sense signals: the vision sense signal and the motion sense signal, and the equipment is equipped with the depth camera and the motion sensor. The dimension (40 mm × 30 mm) and structure is compact and portable after tight integration. System is built on a module layered framework, which contributes to real-time collection (60 fps), process and transmission via synchronous confusion with asynchronous concurrent collection and wireless Blue 4.0 transmission. To minimize equipment's energy consumption, system makes use of low-power components, managing peripheral state dynamically, switching into idle mode intelligently, pulse-width modulation (PWM) of the NIR LEDs of the depth camera and algorithm optimization by the motion sensor. To test this equipment's function and performance, a gesture recognition algorithm is applied to system. As the result presents, general energy consumption could be as low as 0.5 W.

  16. Effect of task specific training and wrist-fingers extension splint on hand joints range of motion and function after stroke.

    Science.gov (United States)

    Khallaf, Mohamed E; Ameer, Mariam A; Fayed, Eman E

    2017-01-01

    Most stroke patients experience hand impairments that can result in persistent limitations in daily activities. This study aimed at estimating the immediate and retention effects of task specific training and wrist/fingers extension splint on hand joints range of motion and function after stroke. Twenty-four right handed patients with first ever stroke represented the sample of the study. The participants were randomly assigned into two equal groups. The study group received task specific exercises five times a week for an hour concurrently with wrist/fingers extension splint which was used two hours for each three hours (day and night) excluding exercises and sleeping hours for 16 weeks. The control group received traditional passive stretch and range of motion exercises. Manual dexterity and upper limb function were assessed by nine holes peg test and Fugl-Meyer upper extremity and hand. Goniometry was used for measuring wrist, metacarpophalangeal, thumb carpometacarpal joints active range of motion. Significant improvements were observed in nine holes peg test, Fugl-Meyer upper extremity and hand scores and ranges of motion at post-intervention and follow-up compared to pre-intervention at P≤0.05. The results of this study provide an evidence that task specific training and wrist/fingers extension splint are effective in improving fingers dexterity, upper extremity function and wrist/hand range of motion.

  17. Application of a motion capture data glove for hand and wrist ergonomic analysis during laparoscopy.

    Science.gov (United States)

    Sánchez-Margallo, Francisco M; Pérez-Duarte, Francisco J; Sánchez-Margallo, Juan A; Lucas-Hernández, Marcos; Matos-Azevedo, Ana Maria; Díaz-Güemes, Idoia

    2014-12-01

    This study aims to analyze the surgeons' hand spatial configuration during the use of two different instrument handles for laparoscopy, by obtaining information from the data glove CyberGlove®, and establishing existing risk levels for wrist disorders. Fifty surgeons participated in this study and were distributed into three groups (novices, intermediate and experts). Each subject carried out suturing and dissection tasks on a physical simulator, using axial-handled or ring-handled instruments, respectively. Hand and wrist positions were registered by the CyberGlove® and a modified RULA method was applied to establish appropriate risk levels for wrist disorders. We found statistically significant differences in seven of the eleven glove sensors when comparing both tasks. RULA method showed that all subjects, with the exception of the experts using an axial-handled instrument, assume a prejudicial wrist posture during the practice of suturing and dissection tasks on the simulator. Data glove CyberGlove® allows for the distinction between two laparoscopic exercises performed with different instruments. Also, laparoscopic intracorporeal suturing when performed with an axial-handled needle holder entails a more ergonomic posture for the wrist joint. Previous minimally invasive surgical experience is a positive influencing factor on the surgeons' wrist postures during laparoscopy.

  18. Work hands and feet in motion on the vertical ladder into the prosthesis disabled lower limb

    Directory of Open Access Journals (Sweden)

    Li Yugang

    2012-08-01

    Full Text Available The influence of the conditions of ascent and descent on the stairs with disabilities is shown. The study involved 12 persons with lower limb prosthetic right or left foot. The purpose was to determine the specific conditions of disabled people in the process of adaptation to the complicated conditions of their life. Underlying this approach is the study of the biomechanical characteristics the movements of disabled people in special terms. The factors that influence the effectiveness of the disability movement on the stairs is shown. These include slope angle, a compensatory effort of the hands and the ability to maintain balance while moving. These studies are the basis for a meaningful solution to improve the disability movement in the complicated conditions.

  19. Motions of the hand expose the partial and parallel activation of stereotypes.

    Science.gov (United States)

    Freeman, Jonathan B; Ambady, Nalini

    2009-10-01

    Perceivers spontaneously sort other people's faces into social categories and activate the stereotype knowledge associated with those categories. In the work described here, participants, presented with sex-typical and sex-atypical faces (i.e., faces containing a mixture of male and female features), identified which of two gender stereotypes (one masculine and one feminine) was appropriate for the face. Meanwhile, their hand movements were measured by recording the streaming x, y coordinates of the computer mouse. As participants stereotyped sex-atypical faces, real-time motor responses exhibited a continuous spatial attraction toward the opposite-gender stereotype. These data provide evidence for the partial and parallel activation of stereotypes belonging to alternate social categories. Thus, perceptual cues of the face can trigger a graded mixture of simultaneously active stereotype knowledge tied to alternate social categories, and this mixture settles over time onto ultimate judgments.

  20. Continuous ambulatory hand force monitoring during manual materials handling using instrumented force shoes and an inertial motion capture suit.

    Science.gov (United States)

    Faber, G S; Koopman, A S; Kingma, I; Chang, C C; Dennerlein, J T; van Dieën, J H

    2017-10-25

    Hand forces (HFs) are commonly measured during biomechanical assessment of manual materials handling; however, it is often a challenge to directly measure HFs in field studies. Therefore, in a previous study we proposed a HF estimation method based on ground reaction forces (GRFs) and body segment accelerations and tested it with laboratory equipment: GFRs were measured with force plates (FPs) and segment accelerations were measured using optical motion capture (OMC). In the current study, we evaluated the HF estimation method based on an ambulatory measurement system, consisting of inertial motion capture (IMC) and instrumented force shoes (FSs). Sixteen participants lifted and carried a 10-kg crate from ground level while 3D full-body kinematics were measured using OMC and IMC, and 3D GRFs were measured using FPs and FSs. We estimated 3D hand force vectors based on: (1) FP+OMC, (2) FP+IMC and (3) FS+IMC. We calculated the root-mean-square differences (RMSDs) between the estimated HFs to reference HFs calculated based on crate kinematics and the GRFs of a FP that the crate was lifted from. Averaged over subjects and across 3D force directions, the HF RMSD ranged between 10-15N when using the laboratory equipment (FP + OMC), 11-18N when using the IMC instead of OMC data (FP+IMC), and 17-21N when using the FSs in combination with IMC (FS + IMC). This error is regarded acceptable for the assessment of spinal loading during manual lifting, as it would results in less than 5% error in peak moment estimates. Copyright © 2017 Elsevier Ltd. All rights reserved.

  1. The Effect of Comprehensive Hand Repetitive Intensive Strength Training (CHRIST) Using Motion Analysis in Children with Cerebral Palsy.

    Science.gov (United States)

    Kim, Dong-A; Lee, Jung-Ah; Hwang, Pil-Woo; Lee, Min-Jin; Kim, Hyun-Kyung; Park, Jeong-Joon; You, Joshua H; Lee, Dong-Ryul; Lee, Nam-Gi

    2012-02-01

    To investigate the effect of Comprehensive Hand Repetitive Intensive Strength Training (CHRIST) on upper limb function in children with cerebral palsy using motion analysis. The subjects in this study included 19 children (10 males, 9 females, mean age=8.8 years) with cerebral palsy. The experimental group (n=10) received CHRIST and general rehabilitation therapy. The control group (n=9) received a home program as well as general rehabilitation therapy. Both groups received 30 sessions of CHRIST or home program training for 60 minutes per session 3 times a week during the 10-week period. The reaching movements were captured by a motion analysis system. Kinematic variables including movement time (MT), mean velocity (MV), normalized jerk score (NJS), mean angular velocity (MAV) and normalized jerk score of the shoulder, elbow and wrist joint with comfortable and fast speed were analyzed between groups and the pre-post training group. After pre- and post-training experimental group, MT, MV, NJS, MAV of shoulder, elbow, wrist and NJS of elbow and wrist improved significantlyin reaching movement of both comfortable and fast speed (pcontrol group, MV improved significantlyin reaching movement of only comfortable speed (p<0.05). Between two groups, MT and MAV of the elbow at comfortable speed and NJS of the elbow at fast speed were statisticallysignificant (p<0.05). CHRIST proved to be an effective intervention for improving upper limb extremity function of reaching movement in children with cerebral palsy.

  2. ``IT'S ALL IN MOTION" -- A Hands-On Astronomy Workshop For Teachers of Grades 4-8

    Science.gov (United States)

    West, M. L.; Liu, C.; Conod, K.

    1999-12-01

    We describe the implementation and results of a four day hands-on astronomy workshop for in-service teachers of grades 4-8. This project, funded by a 1998-1999 IDEAS grant through the Space Telescope Science Institute, included 20 teacher participants from northern New Jersey. We used the workshop's unifying theme -- ``It's All in Motion!" -- to present to the teachers fundamental astrophysical concepts, relevant math and computer skills, and astronomy activities for their classrooms. We learned that there is a great need for this type of training, especially in New Jersey where there are new core curriculum standards and a newly mandated test in science for students in 4th and 8th grades. While the teachers learned content at different rates, the hands-on format gave them confidence to try some of these activities in their classes, especially among under-represented minorities. The most effective activities included human sundials, Sunspotters to measure the rotation of the Earth in 2 minutes, craters in the sand, group mini-reports from posters, speed calculations, physics and astronomy songs, the Ophiuchus Sculpture, a planetarium visit (especially needed in our urban area where the light pollution is severe), and Internet guided sites (See http://www.csam.montclair.edu/ west/ideasresources.html).

  3. Motion tracking and electromyography assist the removal of mirror hand contributions to fNIRS images acquired during a finger tapping task performed by children with cerebral palsy

    Science.gov (United States)

    Hervey, Nathan; Khan, Bilal; Shagman, Laura; Tian, Fenghua; Delgado, Mauricio R.; Tulchin-Francis, Kirsten; Shierk, Angela; Smith, Linsley; Reid, Dahlia; Clegg, Nancy J.; Liu, Hanli; MacFarlane, Duncan; Alexandrakis, George

    2013-03-01

    Functional neurological imaging has been shown to be valuable in evaluating brain plasticity in children with cerebral palsy (CP). In recent studies it has been demonstrated that functional near-infrared spectroscopy (fNIRS) is a viable and sensitive method for imaging motor cortex activities in children with CP. However, during unilateral finger tapping tasks children with CP often exhibit mirror motions (unintended motions in the non-tapping hand), and current fNIRS image formation techniques do not account for this. Therefore, the resulting fNIRS images contain activation from intended and unintended motions. In this study, cortical activity was mapped with fNIRS on four children with CP and five controls during a finger tapping task. Finger motion and arm muscle activation were concurrently measured using motion tracking cameras and electromyography (EMG). Subject-specific regressors were created from motion capture and EMG data and used in a general linear model (GLM) analysis in an attempt to create fNIRS images representative of different motions. The analysis provided an fNIRS image representing activation due to motion and muscle activity for each hand. This method could prove to be valuable in monitoring brain plasticity in children with CP by providing more consistent images between measurements. Additionally, muscle effort versus cortical effort was compared between control and CP subjects. More cortical effort was required to produce similar muscle effort in children with CP. It is possible this metric could be a valuable diagnostic tool in determining response to treatment.

  4. Validity of an Alternate Hand Behind Back Shoulder Range of Motion Measurement in Patients With Shoulder Pain and Movement Dysfunction.

    Science.gov (United States)

    Satpute, Kiran H; Hall, Toby; Adanani, Aditi

    2018-02-23

    The purpose of this study was to determine the criterion-related validity of a novel method of measuring hand behind back (HBB) shoulder range of motion (ROM) for evaluating pain and disability in people with shoulder pain and movement impairment. This cross-sectional study design evaluated shoulder ROM, pain, fear-avoidance beliefs, and disability in 60 people (aged 35-70 years, 31 male) with chronic unilateral shoulder dysfunction (mean duration 15.73 weeks). Shoulder HBB ROM was measured with a bubble inclinometer in a manner that did not require the patient to disrobe. Correlations were sought between HBB ROM and other shoulder movements, as well as scores recorded on the Shoulder Pain and Disability Index (SPADI), visual analogue scale for pain, Fear Avoidance Beliefs Questionnaire (FABQ), and duration of symptoms. Restriction of HBB movement was significantly correlated with SPADI total disability score (r = 0.39, P shoulder movements. These findings suggest that this novel method of measuring HBB ROM could be used as a functional outcome measure in the evaluation of patients with shoulder disorders. This method could be considered as an additional or alternative where there are challenges in measuring HBB because of restrictions in undressing a patient, such as for cultural reasons. Copyright © 2018. Published by Elsevier Inc.

  5. Motion of the drawing hand induces a progressive increase in muscle activity of the non-dominant hand in Ramachandran's mirror-box therapy.

    Science.gov (United States)

    Furukawa, Kiminobu; Suzuki, Harue; Fukuda, Jun

    2012-11-01

    To observe the real-time muscle activity of bilateral hands while subjects draw circles under 2 conditions: with and without using Ramachandran's mirror-box. A total of 24 healthy volunteers. Subjects drew 4 circles sequentially using their dominant hand with the other hand at rest, both with and without looking at a mirror image. Circles were marked by 8 dots on the paper, which subjects connected up to draw the shape. The activity of the bilateral first dorsal interosseus muscles was recorded using surface electromyography. Muscle activity of the dominant hand remained constant during each task. In contrast, muscle activity of the non-dominant hand increased under the condition of watching the image in the mirror, but was low under the non-watching condition. Furthermore, muscle activity of the non-dominant hand increased over the duration of the task. However, wide variation between subjects was observed under the mirror-image condition. Increased muscle action potential of the non-dominant hand may be induced by the circle drawing task of the dominant hand during Ramachandran's mirror-box therapy, which supports previous observations of increased brain activity caused by watching a mirror image.

  6. Reliability and Validity of Electro-Goniometric Range of Motion Measurements in Patients with Hand and Wrist Limitations

    OpenAIRE

    Bashardoust Tajali, Siamak; MacDermid, Joy C.; Grewal, Ruby; Young, Chris

    2016-01-01

    Study Design: Cross-sectional reliability and validity study. Purpose: 1. To determine intrarater, interrater and inter instrument reliabilities and validity of two digital electro goniometry to measure active wrist/finger range of motions (ROMs) in patients with limited motion. 2. To determine intrarater and interrater reliabilities of digital goniometry to measure torques of PIP passive flexion of the index finger in patients with limited motion. Methods: The study was designed in a randomi...

  7. Classifying Microorganisms

    DEFF Research Database (Denmark)

    Sommerlund, Julie

    2006-01-01

    This paper describes the coexistence of two systems for classifying organisms and species: a dominant genetic system and an older naturalist system. The former classifies species and traces their evolution on the basis of genetic characteristics, while the latter employs physiological characteris......This paper describes the coexistence of two systems for classifying organisms and species: a dominant genetic system and an older naturalist system. The former classifies species and traces their evolution on the basis of genetic characteristics, while the latter employs physiological...... characteristics. The coexistence of the classification systems does not lead to a conflict between them. Rather, the systems seem to co-exist in different configurations, through which they are complementary, contradictory and inclusive in different situations-sometimes simultaneously. The systems come...

  8. The Combined Effects of Adaptive Control and Virtual Reality on Robot-Assisted Fine Hand Motion Rehabilitation in Chronic Stroke Patients: A Case Study.

    Science.gov (United States)

    Huang, Xianwei; Naghdy, Fazel; Naghdy, Golshah; Du, Haiping; Todd, Catherine

    2018-01-01

    Robot-assisted therapy is regarded as an effective and reliable method for the delivery of highly repetitive training that is needed to trigger neuroplasticity following a stroke. However, the lack of fully adaptive assist-as-needed control of the robotic devices and an inadequate immersive virtual environment that can promote active participation during training are obstacles hindering the achievement of better training results with fewer training sessions required. This study thus focuses on these research gaps by combining these 2 key components into a rehabilitation system, with special attention on the rehabilitation of fine hand motion skills. The effectiveness of the proposed system is tested by conducting clinical trials on a chronic stroke patient and verified through clinical evaluation methods by measuring the key kinematic features such as active range of motion (ROM), finger strength, and velocity. By comparing the pretraining and post-training results, the study demonstrates that the proposed method can further enhance the effectiveness of fine hand motion rehabilitation training by improving finger ROM, strength, and coordination. Copyright © 2018 National Stroke Association. Published by Elsevier Inc. All rights reserved.

  9. Korean hand acupressure for motion sickness in prehospital trauma care: a prospective, randomized, double-blinded trial in a geriatric population.

    Science.gov (United States)

    Bertalanffy, Petra; Hoerauf, Klaus; Fleischhackl, Roman; Strasser, Helmut; Wicke, Franziska; Greher, Manfred; Gustorff, Burkhard; Kober, Alexander

    2004-01-01

    Patients with trauma or medical illnesses transported to the hospital by ambulance have a frequent incidence of motion sickness. Because the administration of drugs in the ambulance is prohibited by law in Austria, the noninvasive Korean hand acupressure point at K-K9 may be an alternative against nausea and vomiting. We enrolled 100 geriatric patients with minor trauma, randomizing them into a K-K9 group and a sham acupressure group. We recorded visual analog scores (VAS) for nausea and for the patient's overall satisfaction with the treatment, hemodynamic variables, and peripheral vasoconstriction. In the K-K9 group, a significant (P patients had been vasoconstricted at the emergency site before treatment, there was a significant difference (P patients at the hospital (4 and 46 constricted and dilated, respectively, in the K-K9 group versus 48 and 2 constricted and dilated, respectively, in the sham group). On arrival in the hospital, a significant difference (P patients' overall satisfaction with the provided care was significantly higher (P patient satisfaction. Korean hand acupressure at the K-K9 point was effective in reducing nausea and subjective symptoms of motion sickness in emergency trauma transport of patients at high risk of motion sickness.

  10. Hand interception of occluded motion in humans: a test of model-based vs. on-line control.

    Science.gov (United States)

    La Scaleia, Barbara; Zago, Myrka; Lacquaniti, Francesco

    2015-09-01

    Two control schemes have been hypothesized for the manual interception of fast visual targets. In the model-free on-line control, extrapolation of target motion is based on continuous visual information, without resorting to physical models. In the model-based control, instead, a prior model of target motion predicts the future spatiotemporal trajectory. To distinguish between the two hypotheses in the case of projectile motion, we asked participants to hit a ball that rolled down an incline at 0.2 g and then fell in air at 1 g along a parabola. By varying starting position, ball velocity and trajectory differed between trials. Motion on the incline was always visible, whereas parabolic motion was either visible or occluded. We found that participants were equally successful at hitting the falling ball in both visible and occluded conditions. Moreover, in different trials the intersection points were distributed along the parabolic trajectories of the ball, indicating that subjects were able to extrapolate an extended segment of the target trajectory. Remarkably, this trend was observed even at the very first repetition of movements. These results are consistent with the hypothesis of model-based control, but not with on-line control. Indeed, ball path and speed during the occlusion could not be extrapolated solely from the kinematic information obtained during the preceding visible phase. The only way to extrapolate ball motion correctly during the occlusion was to assume that the ball would fall under gravity and air drag when hidden from view. Such an assumption had to be derived from prior experience. Copyright © 2015 the American Physiological Society.

  11. Carbon classified?

    DEFF Research Database (Denmark)

    Lippert, Ingmar

    2012-01-01

    . Using an actor- network theory (ANT) framework, the aim is to investigate the actors who bring together the elements needed to classify their carbon emission sources and unpack the heterogeneous relations drawn on. Based on an ethnographic study of corporate agents of ecological modernisation over...... and corporations construing themselves as able and suitable to manage their emissions, and, additionally, given that the construction of carbon emissions has performative consequences, the underlying practices need to be declassified, i.e. opened for public scrutiny. Hence the paper concludes by arguing...

  12. Continuous ambulatory hand force monitoring during manual materials handling using instrumented force shoes and an inertial motion capture suit

    NARCIS (Netherlands)

    Faber, G. S.; Koopman, A. S.; Kingma, I.; Chang, C. C.; Dennerlein, J. T.; van Dieën, J. H.

    2017-01-01

    Hand forces (HFs) are commonly measured during biomechanical assessment of manual materials handling; however, it is often a challenge to directly measure HFs in field studies. Therefore, in a previous study we proposed a HF estimation method based on ground reaction forces (GRFs) and body segment

  13. Multimedia Classifier

    Science.gov (United States)

    Costache, G. N.; Gavat, I.

    2004-09-01

    Along with the aggressive growing of the amount of digital data available (text, audio samples, digital photos and digital movies joined all in the multimedia domain) the need for classification, recognition and retrieval of this kind of data became very important. In this paper will be presented a system structure to handle multimedia data based on a recognition perspective. The main processing steps realized for the interesting multimedia objects are: first, the parameterization, by analysis, in order to obtain a description based on features, forming the parameter vector; second, a classification, generally with a hierarchical structure to make the necessary decisions. For audio signals, both speech and music, the derived perceptual features are the melcepstral (MFCC) and the perceptual linear predictive (PLP) coefficients. For images, the derived features are the geometric parameters of the speaker mouth. The hierarchical classifier consists generally in a clustering stage, based on the Kohonnen Self-Organizing Maps (SOM) and a final stage, based on a powerful classification algorithm called Support Vector Machines (SVM). The system, in specific variants, is applied with good results in two tasks: the first, is a bimodal speech recognition which uses features obtained from speech signal fused to features obtained from speaker's image and the second is a music retrieval from large music database.

  14. An Adaptive Superpixel Based Hand Gesture Tracking and Recognition System

    Directory of Open Access Journals (Sweden)

    Hong-Min Zhu

    2014-01-01

    Full Text Available We propose an adaptive and robust superpixel based hand gesture tracking system, in which hand gestures drawn in free air are recognized from their motion trajectories. First we employed the motion detection of superpixels and unsupervised image segmentation to detect the moving target hand using the first few frames of the input video sequence. Then the hand appearance model is constructed from its surrounding superpixels. By incorporating the failure recovery and template matching in the tracking process, the target hand is tracked by an adaptive superpixel based tracking algorithm, where the problem of hand deformation, view-dependent appearance invariance, fast motion, and background confusion can be well handled to extract the correct hand motion trajectory. Finally, the hand gesture is recognized by the extracted motion trajectory with a trained SVM classifier. Experimental results show that our proposed system can achieve better performance compared to the existing state-of-the-art methods with the recognition accuracy 99.17% for easy set and 98.57 for hard set.

  15. Design and Construction of a Bilateral Haptic System for the Remote Assessment of the Stiffness and Range of Motion of the Hand

    Directory of Open Access Journals (Sweden)

    Fabio Oscari

    2016-10-01

    Full Text Available The use of haptic devices in the rehabilitation of impaired limbs has become rather popular, given the proven effectiveness in promoting recovery. In a standard framework, such devices are used in rehabilitation centers, where patients interact with virtual tasks, presented on a screen. To track their sessions, kinematic/dynamic parameters or performance scores are recorded. However, as Internet access is now available at almost every home and in order to reduce the hospitalization time of the patient, the idea of doing rehabilitation at home is gaining wide consent. Medical care programs can be synchronized with the home rehabilitation device; patient data can be sent to the central server that could redirect to the therapist laptop (tele-healthcare. The controversial issue is that the recorded data do not actually represent the clinical conditions of the patients according to the medical assessment scales, forcing them to frequently undergo clinical tests at the hospital. To respond to this demand, we propose the use of a bilateral master/slave haptic system that could allow the clinician, who interacts with the master, to assess remotely and in real time the clinical conditions of the patient that uses the home rehabilitation device as the slave. In this paper, we describe a proof of concept to highlight the main issues of such an application, limited to one degree of freedom, and to the measure of the stiffness and range of motion of the hand.

  16. Classifying Facial Actions

    Science.gov (United States)

    Donato, Gianluca; Bartlett, Marian Stewart; Hager, Joseph C.; Ekman, Paul; Sejnowski, Terrence J.

    2010-01-01

    The Facial Action Coding System (FACS) [23] is an objective method for quantifying facial movement in terms of component actions. This system is widely used in behavioral investigations of emotion, cognitive processes, and social interaction. The coding is presently performed by highly trained human experts. This paper explores and compares techniques for automatically recognizing facial actions in sequences of images. These techniques include analysis of facial motion through estimation of optical flow; holistic spatial analysis, such as principal component analysis, independent component analysis, local feature analysis, and linear discriminant analysis; and methods based on the outputs of local filters, such as Gabor wavelet representations and local principal components. Performance of these systems is compared to naive and expert human subjects. Best performances were obtained using the Gabor wavelet representation and the independent component representation, both of which achieved 96 percent accuracy for classifying 12 facial actions of the upper and lower face. The results provide converging evidence for the importance of using local filters, high spatial frequencies, and statistical independence for classifying facial actions. PMID:21188284

  17. Short-term effects of self-mobilization with a strap on pain and range of motion of the wrist joint in patients with dorsal wrist pain when weight bearing through the hand: a case series.

    Science.gov (United States)

    Choung, Sung-Dae; Kwon, Oh-Yun; Park, Kyue-Nam; Kim, Si-Hyun; Cynn, Heon-Seock

    2013-12-01

    Dorsal wrist pain frequently occurs in weight bearing through the hand in patients with distal radius stress injuries, scaphoid impaction syndrome, and dorsal impingement. To improve the wrist extension motion, joint mobilization has been used. However, there is no report on the effects of mobilization on the range of motion (ROM) and pain onset in patients with dorsal wrist pain when weight bearing through the hand. This study determined the effects of self-mobilization with a strap (SMWS) while weight bearing through the hand on the ROM and force generated at the onset of pain (FGOP) and intensity in the wrist joints of patients with dorsal wrist pain. Fifteen patients (six men, nine women) with dorsal wrist pain during weight bearing through the hand were recruited from a workplace-based work-conditioning center. SMWS was applied during five visits for a 1-week period. Both passive and active wrist extension ROM, FGOP, and pain intensity (PI) while pushing down through the hand were measured before and after SMWS. Passive and active ROM of wrist extension and FGOP increased significantly after the five sessions over 1 week of SMWS (p wrist extension ROM and decrease wrist pain in patients with dorsal wrist pain during weight bearing through the hand. Copyright © 2013 Elsevier Ltd. All rights reserved.

  18. An Analysis of Intrinsic and Extrinsic Hand Muscle EMG for Improved Pattern Recognition Control

    Science.gov (United States)

    Adewuyi, Adenike A.; Hargrove, Levi J.; Kuiken, Todd A.

    2015-01-01

    Pattern recognition control combined with surface electromyography (EMG) from the extrinsic hand muscles has shown great promise for control of multiple prosthetic functions for transradial amputees. There is, however, a need to adapt this control method when implemented for partial-hand amputees, who possess both a functional wrist and information-rich residual intrinsic hand muscles. We demonstrate that combining EMG data from both intrinsic and extrinsic hand muscles to classify hand grasps and finger motions allows up to 19 classes of hand grasps and individual finger motions to be decoded, with an accuracy of 96% for non-amputees and 85% for partial-hand amputees. We evaluated real-time pattern recognition control of three hand motions in seven different wrist positions. We found that a system trained with both intrinsic and extrinsic muscle EMG data, collected while statically and dynamically varying wrist position increased completion rates from 73% to 96% for partial-hand amputees and from 88% to 100% for non-amputees when compared to a system trained with only extrinsic muscle EMG data collected in a neutral wrist position. Our study shows that incorporating intrinsic muscle EMG data and wrist motion can significantly improve the robustness of pattern recognition control for partial-hand applications. PMID:25955989

  19. Mobilidade articular dos dedos não lesados pós-reparo em lesão dos tendões flexores da mão Joint range of motion of uninjured fingers after repairs to flexor tendon injuries of the hand

    Directory of Open Access Journals (Sweden)

    RB Rabelo

    2007-10-01

    were examined at the time of removing the plaster splint. Early mobilization was performed using the modified Duran method. Goniometric data were used for recording the TAM (total active motion values of the fingers on the injured and uninjured (control hands. To analyze the data, the functional index formula proposed by the American Society for Surgery of the Hand (ASSH was utilized, and for statistical calculations the mixed-effect model was selected. RESULTS: The ASSH formula for the injured fingers classified the movement as "good" in 18.33%, "fair" in 18.33% and "poor" in 63.34%. The means, in degrees, of the measurements for all the fingers were compared with each other within each group (control and injured and between the groups. A significant difference was found between control and injured groups. There was no statistical difference between the TAM of each finger on the injured hand. CONCLUSION: Independent of how many fingers on one hand had suffered tendon injuries, the uninjured fingers also presented diminished active ROM during the period immediately after removal of the immobilization.

  20. Interface Prostheses With Classifier-Feedback-Based User Training.

    Science.gov (United States)

    Fang, Yinfeng; Zhou, Dalin; Li, Kairu; Liu, Honghai

    It is evident that user training significantly affects performance of pattern-recognition-based myoelectric prosthetic device control. Despite plausible classification accuracy on offline datasets, online accuracy usually suffers from the changes in physiological conditions and electrode displacement. The user ability in generating consistent electromyographic (EMG) patterns can be enhanced via proper user training strategies in order to improve online performance. This study proposes a clustering-feedback strategy that provides real-time feedback to users by means of a visualized online EMG signal input as well as the centroids of the training samples, whose dimensionality is reduced to minimal number by dimension reduction. Clustering feedback provides a criterion that guides users to adjust motion gestures and muscle contraction forces intentionally. The experiment results have demonstrated that hand motion recognition accuracy increases steadily along the progress of the clustering-feedback-based user training, while conventional classifier-feedback methods, i.e., label feedback, hardly achieve any improvement. The result concludes that the use of proper classifier feedback can accelerate the process of user training, and implies prosperous future for the amputees with limited or no experience in pattern-recognition-based prosthetic device manipulation.It is evident that user training significantly affects performance of pattern-recognition-based myoelectric prosthetic device control. Despite plausible classification accuracy on offline datasets, online accuracy usually suffers from the changes in physiological conditions and electrode displacement. The user ability in generating consistent electromyographic (EMG) patterns can be enhanced via proper user training strategies in order to improve online performance. This study proposes a clustering-feedback strategy that provides real-time feedback to users by means of a visualized online EMG signal input as well

  1. Data characteristics that determine classifier performance

    CSIR Research Space (South Africa)

    Van der Walt, Christiaan M

    2006-11-01

    Full Text Available The relationship between the distribution of data, on the one hand, and classifier performance, on the other, for non-parametric classifiers has been studied. It is shown that predictable factors such as the available amount of training data...

  2. Effectiveness of a fine motor skills rehabilitation program on upper limb disability, manual dexterity, pinch strength, range of fingers motion, performance in activities of daily living, functional independency, and general self-efficacy in hand osteoarthritis: A randomized clinical trial.

    Science.gov (United States)

    Pérez-Mármol, Jose Manuel; García-Ríos, Ma Carmen; Ortega-Valdivieso, María Azucena; Cano-Deltell, Enrique Elías; Peralta-Ramírez, María Isabel; Ickmans, Kelly; Aguilar-Ferrándiz, María Encarnación

    A randomized clinical trial. Rehabilitation treatments for improving fine motor skills (FMS) in hand osteoarthritis (HOA) have not been well explored yet. To assess the effectiveness of a rehabilitation program on upper limb disability, independence of activities of daily living (ADLs), fine motor abilities, functional independency, and general self-efficacy in older adults with HOA. About 45 adults (74-86 years) with HOA were assigned to an experimental group for completing an FMS intervention or a control group receiving conventional occupational therapy. Both interventions were performed 3 times/wk, 45 minutes each session, during 8 weeks. Upper limb disability, performance in ADLs, pinch strength, manual dexterity, range of fingers motion, functional independency, and general self-efficacy were assessed at baseline, immediately after treatment, and after 2 months of follow-up. FMS group showed significant improvements with a small effect size on manual dexterity (P ≤ .034; d ≥ 0.48) and a moderate-high effect on range of index (P ≤ .018; d ≥ 0.58) and thumb (P ≤ .027; d ≥ 0.39) motion. The control group showed a significant worse range of motion over time in some joints at the index (P ≤ .037; d ≥ 0.36) finger and thumb (P ≤ .017; d ≥ 0.55). A rehabilitation intervention for FMS may improve manual dexterity and range of fingers motion in HOA, but its effects on upper limb disability, performance in ADLs, pinch strength, functionality, and self-efficacy remain uncertain. Specific interventions of the hand are needed to prevent a worsening in range of finger motion. 1b. Copyright © 2016 Hanley & Belfus. Published by Elsevier Inc. All rights reserved.

  3. Hand collection - hand harvest

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This is a summary of activities related to the collection and harvest of seeds on Neal Smith National Wildlife Refuge between 1992 and 2009. Information about hand...

  4. Experimental Study of Real-Time Classification of 17 Voluntary Movements for Multi-Degree Myoelectric Prosthetic Hand

    Directory of Open Access Journals (Sweden)

    Trongmun Jiralerspong

    2017-11-01

    Full Text Available The myoelectric prosthetic hand is a powerful tool developed to help people with upper limb loss restore the functions of a biological hand. Recognizing multiple hand motions from only a few electromyography (EMG sensors is one of the requirements for the development of prosthetic hands with high level of usability. This task is highly challenging because both classification rate and misclassification rate worsen with additional hand motions. This paper presents a signal processing technique that uses spectral features and an artificial neural network to classify 17 voluntary movements from EMG signals. The main highlight will be on the use of a small set of low-cost EMG sensor for classification of a reasonably large number of hand movements. The aim of this work is to extend the capabilities to recognize and produce multiple movements beyond what is currently feasible. This work will also show and discuss about how tailoring the number of hand motions for a specific task can help develop a more reliable prosthetic hand system. Online classification experiments have been conducted on seven male and five female participants to evaluate the validity of the proposed method. The proposed algorithm achieves an overall correct classification rate of up to 83%, thus, demonstrating the potential to classify 17 movements from 6 EMG sensors. Furthermore, classifying 9 motions using this method could achieve an accuracy of up to 92%. These results show that if the prosthetic hand is intended for a specific task, limiting the number of motions can significantly increase the performance and usability.

  5. The role of internal models in motion planning and control: evidence from grip force adjustments during movements of hand-held loads.

    Science.gov (United States)

    Flanagan, J R; Wing, A M

    1997-02-15

    We investigated the issue of whether or not the CNS makes use of an internal model of the motor apparatus in planning and controlling arm movements. In particular, we tested the ability of subjects to predict different hand-held loads by examining grip force adjustments used to stabilize the load in the hand during arm movements. Subjects grasped a manipulandum using a precision grip with the tips of the thumb and index finger on either side. The grip force (normal to the contact surfaces) and the load force (tangential to the surfaces) were measured, along with the trajectory of the hand. The manipulandum was attached to two servo-controlled linear motors used to create inertial and viscous loads as well as a composite load, including inertial, viscous, and elastic components. The form of the hand trajectory was independent of load for some subjects but varied systematically across load conditions in others. Nevertheless, under all load conditions and in all subjects, grip force was modulated in parallel with, and thus anticipated, fluctuations in load force despite the marked variation in the form of the load function. This indicates that the CNS is able to predict the load force and the kinematics of hand movement on which the load depends. We suggest this prediction is based on an internal model of the motor apparatus and external load and is used to determine the grip forces required to stabilize the load.

  6. A natural human hand model

    NARCIS (Netherlands)

    Van Nierop, O.A.; Van der Helm, A.; Overbeeke, K.J.; Djajadiningrat, T.J.P.

    2007-01-01

    We present a skeletal linked model of the human hand that has natural motion. We show how this can be achieved by introducing a new biology-based joint axis that simulates natural joint motion and a set of constraints that reduce an estimated 150 possible motions to twelve. The model is based on

  7. Hand Therapy

    Science.gov (United States)

    ... Therapist? Media Find a Hand Surgeon Home Anatomy Hand Therapy Email to a friend * required fields From * ... ensure a healthy style of work. Find a Hand Therapist Search for a hand therapist in your ...

  8. Neural manual vs. robotic assisted mobilization to improve motion and reduce pain hypersensitivity in hand osteoarthritis: study protocol for a randomized controlled trial.

    Science.gov (United States)

    Villafañe, Jorge Hugo; Valdes, Kristin; Imperio, Grace; Borboni, Alberto; Cantero-Téllez, Raquel; Galeri, Silvia; Negrini, Stefano

    2017-05-01

    [Purpose] The aim of the present study is to detail the protocol for a randomised controlled trial (RCT) of neural manual vs. robotic assisted on pain in sensitivity as well as analyse the quantitative and qualitative movement of hand in subjects with hand osteoarthritis. [Subjects and Methods] Seventy-two patients, aged 50 to 90 years old of both genders, with a diagnosis of hand Osteoarthritis (OA), will be recruited. Two groups of 36 participants will receive an experimental intervention (neurodynamic mobilization intervention plus exercise) or a control intervention (robotic assisted passive mobilization plus exercise) for 12 sessions over 4 weeks. Assessment points will be at baseline, end of therapy, and 1 and 3 months after end of therapy. The outcomes of this intervention will be pain and determine the central pain processing mechanisms. [Result] Not applicable. [Conclusion] If there is a reduction in pain hypersensitivity in hand OA patients it can suggest that supraspinal pain-inhibitory areas, including the periaqueductal gray matter, can be stimulated by joint mobilization.

  9. Using subject-specific three-dimensional (3D) anthropometry data in digital human modelling: case study in hand motion simulation.

    Science.gov (United States)

    Tsao, Liuxing; Ma, Liang

    2016-11-01

    Digital human modelling enables ergonomists and designers to consider ergonomic concerns and design alternatives in a timely and cost-efficient manner in the early stages of design. However, the reliability of the simulation could be limited due to the percentile-based approach used in constructing the digital human model. To enhance the accuracy of the size and shape of the models, we proposed a framework to generate digital human models using three-dimensional (3D) anthropometric data. The 3D scan data from specific subjects' hands were segmented based on the estimated centres of rotation. The segments were then driven in forward kinematics to perform several functional postures. The constructed hand models were then verified, thereby validating the feasibility of the framework. The proposed framework helps generate accurate subject-specific digital human models, which can be utilised to guide product design and workspace arrangement. Practitioner Summary: Subject-specific digital human models can be constructed under the proposed framework based on three-dimensional (3D) anthropometry. This approach enables more reliable digital human simulation to guide product design and workspace arrangement.

  10. A study to compare the reliability of composite finger flexion with goniometry for measurement of range of motion in the hand.

    Science.gov (United States)

    Ellis, Bridget; Bruton, Anne

    2002-08-01

    To establish the intra- and inter-rater reliability of composite finger flexion (CFF), and to compare this with goniometry. Fifty-one physiotherapists and occupational therapists took part in the study. The hand of a normal subject was splinted in three different positions. Using a goniometer and a ruler alternately, each therapist measured both the proximal interphalangeal joint and CFF of three digits, following a standardized protocol. This process was repeated three times. Eighteen NHS hospital sites in the UK. The two measurement methods produced different ranges and standard deviations for each digit. The repeatability coefficient shows that repeated intra-rater goniometric measures fall within 4-5 degrees of each other 95% of the time. Inter-rater goniometric measures fall within 7-9 degrees. Repeated intra-rater CFF measures fall within 5-6 mm of each other, whereas inter-rater fall within 7-9 mm. The influence of occupation, experience in hand therapy, years of practice and routine use were found to have no effect on reliability. Scaling of the two methods of measurement allowed comparison between them to be made. CFF and goniometry are equally reliable when comparing inter-rater reliability, but goniometry displays less variability than composite finger flexion for intra-rater measurements. In this study involving a subject with normal joints, goniometry is more reliable than CFF when only one measurer is involved. However, CFF may be a useful alternative where multiple joint measures are required, or when goniometry is impracticable.

  11. Reliability of ankle dorsiflexion passive range of motion measurements obtained using a hand-held goniometer and Biodex dynamometer in stroke patients.

    Science.gov (United States)

    Jung, In-Gui; Yu, Il-Young; Kim, Soo-Yong; Lee, Dong-Kyu; Oh, Jae-Seop

    2015-06-01

    [Purpose] This study investigated the reliability of ankle dorsiflexion passive range of motion (DF-PROM) measurements obtained using a goniometer and Biodex dynamometer in stroke patients. [Subjects] Fifteen stroke patients participated in this study. [Methods] Ankle DF-PROM was assessed using a goniometer and Biodex dynamometer. Ankle DF-PROM was measured during two sessions with 7 days between tests. Intraclass correlation coefficient, standard error of measurement, and minimal detectable change values were used to assess the reliability of measurements obtained using both instruments. [Results] The intra-rater reliability for ankle DF-PROM using the goniometer was moderate and good for the two raters, while using the Biodex dynamometer, it was good for both raters. Inter-rater reliability using the goniometer was moderate; using the Biodex, it was good. [Conclusion] Both intra- and inter-reliability measurements of ankle DF-PROM were higher using a Biodex dynamometer than with a goniometer.

  12. Quantum Minimum Distance Classifier

    OpenAIRE

    Enrica Santucci

    2017-01-01

    We propose a quantum version of the well known minimum distance classification model called Nearest Mean Classifier (NMC). In this regard, we presented our first results in two previous works. First, a quantum counterpart of the NMC for two-dimensional problems was introduced, named Quantum Nearest Mean Classifier (QNMC), together with a possible generalization to any number of dimensions. Secondly, we studied the n-dimensional problem into detail and we showed a new encoding for arbitrary n-...

  13. Classifying Returns as Extreme

    DEFF Research Database (Denmark)

    Christiansen, Charlotte

    2014-01-01

    I consider extreme returns for the stock and bond markets of 14 EU countries using two classification schemes: One, the univariate classification scheme from the previous literature that classifies extreme returns for each market separately, and two, a novel multivariate classification scheme...... that classifies extreme returns for several markets jointly. The new classification scheme holds about the same information as the old one, while demanding a shorter sample period. The new classification scheme is useful....

  14. Hand Anatomy

    Science.gov (United States)

    ... Arthritis Thumb Sprains Trigger Finger Tumors Wrist Fracture Hand Safety Fireworks Safety Lawnmower Safety Snowblower safety Pumpkin ... A-Z Videos Infographics Symptom Picker Anatomy About Hand Surgery What is a Hand Surgeon? What is ...

  15. Claw hand

    Science.gov (United States)

    Ulnar nerve palsy - claw hand; Ulnar nerve dysfunction - claw hand; Ulnar claw ... Someone can be born with claw hand (congenital), or they can develop it because of certain disorders, such as nerve injury.

  16. EMG signal classification for myoelectric teleoperating a dexterous robot hand.

    Science.gov (United States)

    Wang, J Z; Wang, R C; Li, F; Jiang, M W; Jin, D W

    2005-01-01

    This paper details a strategy of discriminating finger motions using surface electromyography (EMG) signals, which could be applied to teleoperating a dexterous robot hand or controlling the advanced multi-fingered myoelectric prosthesis for hand amputees. Finger motions discrimination is the key problem in this study. Thus the emphasis is put on myoelectric signal processing approaches in this paper. The EMG signal classification system was established based on the surface EMG signals from the subject's forearm. Four pairs of electrodes were attached on the subjects to acquire the signals during six types of finger motions, i.e. thumb extension, thumb flexion, index finger extension, index finger flexion, middle finger extension, and middle finger flexion. In order to distinguish these finger motions. A combination of autoregressive (AR) model and an Artificial Neural Network (ANN) was used in the system. The discrimination procedure consists of two steps. Firstly, the AR model is used to preprocess the surface EMG signals to reduce the scale of the data. These data will be imported into the myoelectric pattern classifier. Secondly the coefficients of AR model are imported into the ANN to identify the finger motions. The experimental results show that the discrimination system works with satisfaction.

  17. Dynamic system classifier

    CERN Document Server

    Pumpe, Daniel; Müller, Ewald; Enßlin, Torsten A

    2016-01-01

    Stochastic differential equations describe well many physical, biological and sociological systems, despite the simplification often made in their derivation. Here the usage of simple stochastic differential equations to characterize and classify complex dynamical systems is proposed within a Bayesian framework. To this end, we develop a dynamic system classifier (DSC). The DSC first abstracts training data of a system in terms of time dependent coefficients of the descriptive stochastic differential equation. Thereby the DSC identifies unique correlation structures within the training data. For definiteness we restrict the presentation of DSC to oscillation processes with a time dependent frequency {\\omega}(t) and damping factor {\\gamma}(t). Although real systems might be more complex, this simple oscillator captures many characteristic features. The {\\omega} and {\\gamma} timelines represent the abstract system characterization and permit the construction of efficient signal classifiers. Numerical experiment...

  18. Android Hands

    DEFF Research Database (Denmark)

    Vlachos, Evgenios; Schärfe, Henrik

    2014-01-01

    . On such occasions, android and humanoid hand models should have similar structure, functions, and performance as the human hand. In this paper we present the anatomy, and the key functionalities of the human hand followed by a literature review on android/humanoid hands for grasping and manipulating objects...

  19. Classifying Cereal Data

    Science.gov (United States)

    The DSQ includes questions about cereal intake and allows respondents up to two responses on which cereals they consume. We classified each cereal reported first by hot or cold, and then along four dimensions: density of added sugars, whole grains, fiber, and calcium.

  20. LCC: Light Curves Classifier

    Science.gov (United States)

    Vo, Martin

    2017-08-01

    Light Curves Classifier uses data mining and machine learning to obtain and classify desired objects. This task can be accomplished by attributes of light curves or any time series, including shapes, histograms, or variograms, or by other available information about the inspected objects, such as color indices, temperatures, and abundances. After specifying features which describe the objects to be searched, the software trains on a given training sample, and can then be used for unsupervised clustering for visualizing the natural separation of the sample. The package can be also used for automatic tuning parameters of used methods (for example, number of hidden neurons or binning ratio). Trained classifiers can be used for filtering outputs from astronomical databases or data stored locally. The Light Curve Classifier can also be used for simple downloading of light curves and all available information of queried stars. It natively can connect to OgleII, OgleIII, ASAS, CoRoT, Kepler, Catalina and MACHO, and new connectors or descriptors can be implemented. In addition to direct usage of the package and command line UI, the program can be used through a web interface. Users can create jobs for ”training” methods on given objects, querying databases and filtering outputs by trained filters. Preimplemented descriptors, classifier and connectors can be picked by simple clicks and their parameters can be tuned by giving ranges of these values. All combinations are then calculated and the best one is used for creating the filter. Natural separation of the data can be visualized by unsupervised clustering.

  1. Intelligent Garbage Classifier

    Directory of Open Access Journals (Sweden)

    Ignacio Rodríguez Novelle

    2008-12-01

    Full Text Available IGC (Intelligent Garbage Classifier is a system for visual classification and separation of solid waste products. Currently, an important part of the separation effort is based on manual work, from household separation to industrial waste management. Taking advantage of the technologies currently available, a system has been built that can analyze images from a camera and control a robot arm and conveyor belt to automatically separate different kinds of waste.

  2. Quantum Minimum Distance Classifier

    Directory of Open Access Journals (Sweden)

    Enrica Santucci

    2017-12-01

    Full Text Available We propose a quantum version of the well known minimum distance classification model called Nearest Mean Classifier (NMC. In this regard, we presented our first results in two previous works. First, a quantum counterpart of the NMC for two-dimensional problems was introduced, named Quantum Nearest Mean Classifier (QNMC, together with a possible generalization to any number of dimensions. Secondly, we studied the n-dimensional problem into detail and we showed a new encoding for arbitrary n-feature vectors into density operators. In the present paper, another promising encoding is considered, suggested by recent debates on quantum machine learning. Further, we observe a significant property concerning the non-invariance by feature rescaling of our quantum classifier. This fact, which represents a meaningful difference between the NMC and the respective quantum version, allows us to introduce a free parameter whose variation provides, in some cases, better classification results for the QNMC. The experimental section is devoted: (i to compare the NMC and QNMC performance on different datasets; and (ii to study the effects of the non-invariance under uniform rescaling for the QNMC.

  3. [Hand osteoarthritis].

    Science.gov (United States)

    Šenolt, Ladislav

    Hand osteoarthritis (OA) is a common chronic disorder causing pain and limitation of mobility of affected joints. The prevalence of hand OA increases with age and more often affects females. Clinical signs obviously do not correlate with radiographic findings - symptomatic hand OA affects approximately 26 % of adult subjects, but radiographic changes can be found in up to two thirds of females and half of males older than 55 years.Disease course differ among individual patients. Hand OA is a heterogeneous disease. Nodal hand OA is the most common subtype affecting interphalangeal joints, thumb base OA affects first carpometacarpal joint. Erosive OA represents a specific subtype of hand OA, which is associated with joint inflammation, more pain, functional limitation and erosive findings on radiographs.Treatment of OA is limited. Analgesics and nonsteroidal anti-inflammatory drugs are the only agents reducing symptoms. New insights into the pathogenesis of disease should contribute to the development of novel effective treatment of hand OA.

  4. Classifying TDSS Stellar Variables

    Science.gov (United States)

    Amaro, Rachael Christina; Green, Paul J.; TDSS Collaboration

    2017-01-01

    The Time Domain Spectroscopic Survey (TDSS), a subprogram of SDSS-IV eBOSS, obtains classification/discovery spectra of point-source photometric variables selected from PanSTARRS and SDSS multi-color light curves regardless of object color or lightcurve shape. Tens of thousands of TDSS spectra are already available and have been spectroscopically classified both via pipeline and by visual inspection. About half of these spectra are quasars, half are stars. Our goal is to classify the stars with their correct variability types. We do this by acquiring public multi-epoch light curves for brighter stars (rclassifications and parameters in the Catalina Surveys Periodic Variable Star Catalog. Variable star classifications include RR Lyr, close eclipsing binaries, CVs, pulsating white dwarfs, and other exotic systems. The key difference between our catalog and others is that along with the light curves, we will be using TDSS spectra to help in the classification of variable type, as spectra are rich with information allowing estimation of physical parameters like temperature, metallicity, gravity, etc. This work was supported by the SDSS Research Experience for Undergraduates program, which is funded by a grant from Sloan Foundation to the Astrophysical Research Consortium.

  5. Stack filter classifiers

    Energy Technology Data Exchange (ETDEWEB)

    Porter, Reid B [Los Alamos National Laboratory; Hush, Don [Los Alamos National Laboratory

    2009-01-01

    Just as linear models generalize the sample mean and weighted average, weighted order statistic models generalize the sample median and weighted median. This analogy can be continued informally to generalized additive modeels in the case of the mean, and Stack Filters in the case of the median. Both of these model classes have been extensively studied for signal and image processing but it is surprising to find that for pattern classification, their treatment has been significantly one sided. Generalized additive models are now a major tool in pattern classification and many different learning algorithms have been developed to fit model parameters to finite data. However Stack Filters remain largely confined to signal and image processing and learning algorithms for classification are yet to be seen. This paper is a step towards Stack Filter Classifiers and it shows that the approach is interesting from both a theoretical and a practical perspective.

  6. Animating with Stop Motion Pro

    CERN Document Server

    Sawicki, Mark

    2010-01-01

    Animating with Stop Motion Pro is comprehensive, hands-on guide to achieving professional results with Stop Motion Pro 7.0 software. Gone are the days of stop motion guesswork and waiting to see the finalized result of your meticulous, labor intensive animations. With the push of a mouse button and the Stop Motion Pro software, animators have ten times the capability of simple camera stop motion capture. Re-visualize stop motion character movements, graph these movements and composite characters into a flawless animations with the techniques and step by step tutorials featured in Animating wit

  7. Polydactyly of the hand.

    Science.gov (United States)

    Faust, Katherine C; Kimbrough, Tara; Oakes, Jean Evans; Edmunds, J Ollie; Faust, Daniel C

    2015-05-01

    Polydactyly is considered either the most or second most (after syndactyly) common congenital hand abnormality. Polydactyly is not simply a duplication; the anatomy is abnormal with hypoplastic structures, abnormally contoured joints, and anomalous tendon and ligament insertions. There are many ways to classify polydactyly, and surgical options range from simple excision to complicated bone, ligament, and tendon realignments. The prevalence of polydactyly makes it important for orthopedic surgeons to understand the basic tenets of the abnormality.

  8. Conceptualizing cancer drugs as classifiers.

    Directory of Open Access Journals (Sweden)

    Patrick Nathan Lawlor

    Full Text Available Cancer and healthy cells have distinct distributions of molecular properties and thus respond differently to drugs. Cancer drugs ideally kill cancer cells while limiting harm to healthy cells. However, the inherent variance among cells in both cancer and healthy cell populations increases the difficulty of selective drug action. Here we formalize a classification framework based on the idea that an ideal cancer drug should maximally discriminate between cancer and healthy cells. More specifically, this discrimination should be performed on the basis of measurable cell markers. We divide the problem into three parts which we explore with examples. First, molecular markers should discriminate cancer cells from healthy cells at the single-cell level. Second, the effects of drugs should be statistically predicted by these molecular markers. Third, drugs should be optimized for classification performance. We find that expression levels of a handful of genes suffice to discriminate well between individual cells in cancer and healthy tissue. We also find that gene expression predicts the efficacy of some cancer drugs, suggesting that these cancer drugs act as suboptimal classifiers using gene profiles. Finally, we formulate a framework that defines an optimal drug, and predicts drug cocktails that may target cancer more accurately than the individual drugs alone. Conceptualizing cancer drugs as solving a discrimination problem in the high-dimensional space of molecular markers promises to inform the design of new cancer drugs and drug cocktails.

  9. Hand eczema

    DEFF Research Database (Denmark)

    Ibler, K.S.; Jemec, G.B.E.; Flyvholm, M.-A.

    2012-01-01

    Background. Healthcare workers are at increased risk of developing hand eczema. Objectives. To investigate the prevalence and severity of self-reported hand eczema, and to relate the findings to demographic data, occupation, medical speciality, wards, shifts, and working hours. Patients....../materials/methods. A survey of 3181 healthcare workers was performed. Data were analysed with logistic regression. Data on sick leave and notification to the authorities were obtained. Results. The response rate was 71% (2274 of 3181). The 1-year prevalence of hand eczema was 21%, and was positively associated with atopic....... The 21% prevalence of hand eczema in healthcare workers is double the prevalence in the background population. Eleven per cent of hand eczema patients reported severe/very severe eczema. No significant differences were found between professions or medical specialities with respect to prevalence...

  10. Robotic Hand

    Science.gov (United States)

    1993-01-01

    The Omni-Hand was developed by Ross-Hime Designs, Inc. for Marshall Space Flight Center (MSFC) under a Small Business Innovation Research (SBIR) contract. The multiple digit hand has an opposable thumb and a flexible wrist. Electric muscles called Minnacs power wrist joints and the interchangeable digits. Two hands have been delivered to NASA for evaluation for potential use on space missions and the unit is commercially available for applications like hazardous materials handling and manufacturing automation. Previous SBIR contracts resulted in the Omni-Wrist and Omni-Wrist II robotic systems, which are commercially available for spray painting, sealing, ultrasonic testing, as well as other uses.

  11. Evolving extended naive Bayes classifiers

    OpenAIRE

    Klawonn, Frank; Angelov, Plamen

    2006-01-01

    Naive Bayes classifiers are a very simple, but often effective tool for classification problems, although they are based on independence assumptions that do not hold in most cases. Extended naive Bayes classifiers also rely on independence assumptions, but break them down to artificial subclasses, in this way becoming more powerful than ordinary naive Bayes classifiers. Since the involved computations for Bayes classifiers are basically generalised mean value calculations, they easily render ...

  12. Hand Eczema

    Science.gov (United States)

    Agarwal, Uma Shankar; Besarwal, Raj Kumar; Gupta, Rahul; Agarwal, Puneet; Napalia, Sheetal

    2014-01-01

    Hand eczema is often a chronic, multifactorial disease. It is usually related to occupational or routine household activities. Exact etiology of the disease is difficult to determine. It may become severe enough and disabling to many of patients in course of time. An estimated 2-10% of population is likely to develop hand eczema at some point of time during life. It appears to be the most common occupational skin disease, comprising 9-35% of all occupational diseases and up to 80% or more of all occupational contact dermatitis. So, it becomes important to find the exact etiology and classification of the disease and to use the appropriate preventive and treatment measures. Despite its importance in the dermatological practice, very few Indian studies have been done till date to investigate the epidemiological trends, etiology, and treatment options for hand eczema. In this review, we tried to find the etiology, epidemiology, and available treatment modalities for chronic hand eczema patients. PMID:24891648

  13. Ergonomic Evaluation of Biomechanical Hand Function

    Directory of Open Access Journals (Sweden)

    Kyung-Sun Lee

    2015-03-01

    Full Text Available The human hand is a complex structure that performs various functions for activities of daily living and occupations. This paper presents a literature review on the methodologies used to evaluate hand functions from a biomechanics standpoint, including anthropometry, kinematics, kinetics, and electromyography (EMG. Anthropometry describes the dimensions and measurements of the hand. Kinematics includes hand movements and the range of motion of finger joints. Kinetics includes hand models for tendon and joint force analysis. EMG is used on hand muscles associated with hand functions and with signal-processing technology.

  14. Study of recognizing multiple persons' complicated hand gestures from the video sequence acquired by a moving camera

    Science.gov (United States)

    Dan, Luo; Ohya, Jun

    2010-02-01

    Recognizing hand gestures from the video sequence acquired by a dynamic camera could be a useful interface between humans and mobile robots. We develop a state based approach to extract and recognize hand gestures from moving camera images. We improved Human-Following Local Coordinate (HFLC) System, a very simple and stable method for extracting hand motion trajectories, which is obtained from the located human face, body part and hand blob changing factor. Condensation algorithm and PCA-based algorithm was performed to recognize extracted hand trajectories. In last research, this Condensation Algorithm based method only applied for one person's hand gestures. In this paper, we propose a principal component analysis (PCA) based approach to improve the recognition accuracy. For further improvement, temporal changes in the observed hand area changing factor are utilized as new image features to be stored in the database after being analyzed by PCA. Every hand gesture trajectory in the database is classified into either one hand gesture categories, two hand gesture categories, or temporal changes in hand blob changes. We demonstrate the effectiveness of the proposed method by conducting experiments on 45 kinds of sign language based Japanese and American Sign Language gestures obtained from 5 people. Our experimental recognition results show better performance is obtained by PCA based approach than the Condensation algorithm based method.

  15. Hand Eczema

    OpenAIRE

    Uma Shankar Agarwal; Raj Kumar Besarwal; Rahul Gupta; Puneet Agarwal; Sheetal Napalia

    2014-01-01

    Hand eczema is often a chronic, multifactorial disease. It is usually related to occupational or routine household activities. Exact etiology of the disease is difficult to determine. It may become severe enough and disabling to many of patients in course of time. An estimated 2-10% of population is likely to develop hand eczema at some point of time during life. It appears to be the most common occupational skin disease, comprising 9-35% of all occupational diseases and up to 80% or more of ...

  16. Emergent behaviors of classifier systems

    Energy Technology Data Exchange (ETDEWEB)

    Forrest, S.; Miller, J.H.

    1989-01-01

    This paper discusses some examples of emergent behavior in classifier systems, describes some recently developed methods for studying them based on dynamical systems theory, and presents some initial results produced by the methodology. The goal of this work is to find techniques for noticing when interesting emergent behaviors of classifier systems emerge, to study how such behaviors might emerge over time, and make suggestions for designing classifier systems that exhibit preferred behaviors. 20 refs., 1 fig.

  17. Perpetual Motion Machine

    Directory of Open Access Journals (Sweden)

    D. Tsaousis

    2008-01-01

    Full Text Available Ever since the first century A.D. there have been relative descriptions of known devices as well as manufactures for the creation of perpetual motion machines. Although physics has led, with two thermodynamic laws, to the opinion that a perpetual motion machine is impossible to be manufactured, inventors of every age and educational level appear to claim that they have invented something «entirely new» or they have improved somebody else’s invention, which «will function henceforth perpetually»! However the fact of the failure in manufacturing a perpetual motion machine till now, it does not mean that countless historical elements for these fictional machines become indifferent. The discussion on every version of a perpetual motion machine on the one hand gives the chance to comprehend the inventor’s of each period level of knowledge and his way of thinking, and on the other hand, to locate the points where this «perpetual motion machine» clashes with the laws of nature and that’s why it is impossible to have been manufactured or have functioned. The presentation of a new «perpetual motion machine» has excited our interest to locate its weak points. According to the designer of it the machine functions with the work produced by the buoyant force

  18. Hand eczema

    Directory of Open Access Journals (Sweden)

    Uma Shankar Agarwal

    2014-01-01

    Full Text Available Hand eczema is often a chronic, multifactorial disease. It is usually related to occupational or routine household activities. Exact etiology of the disease is difficult to determine. It may become severe enough and disabling to many of patients in course of time. An estimated 2-10% of population is likely to develop hand eczema at some point of time during life. It appears to be the most common occupational skin disease, comprising 9-35% of all occupational diseases and up to 80% or more of all occupational contact dermatitis. So, it becomes important to find the exact etiology and classification of the disease and to use the appropriate preventive and treatment measures. Despite its importance in the dermatological practice, very few Indian studies have been done till date to investigate the epidemiological trends, etiology, and treatment options for hand eczema. In this review, we tried to find the etiology, epidemiology, and available treatment modalities for chronic hand eczema patients.

  19. Hand Washing

    Science.gov (United States)

    ... that mystery object in the park or your cat rub against you after using the litter pan. Fido and Fluffy are dirtier than you might think. Even if you're a good hand-washer, your friends may be harboring some ...

  20. Anthropomorphic Robot Hand And Teaching Glove

    Science.gov (United States)

    Engler, Charles D., Jr.

    1991-01-01

    Robotic forearm-and-hand assembly manipulates objects by performing wrist and hand motions with nearly human grasping ability and dexterity. Imitates hand motions of human operator who controls robot in real time by programming via exoskeletal "teaching glove". Telemanipulator systems based on this robotic-hand concept useful where humanlike dexterity required. Underwater, high-radiation, vacuum, hot, cold, toxic, or inhospitable environments potential application sites. Particularly suited to assisting astronauts on space station in safely executing unexpected tasks requiring greater dexterity than standard gripper.

  1. Hand kinematics of piano playing.

    Science.gov (United States)

    Furuya, Shinichi; Flanders, Martha; Soechting, John F

    2011-12-01

    Dexterous use of the hand represents a sophisticated sensorimotor function. In behaviors such as playing the piano, it can involve strong temporal and spatial constraints. The purpose of this study was to determine fundamental patterns of covariation of motion across joints and digits of the human hand. Joint motion was recorded while 5 expert pianists played 30 excerpts from musical pieces, which featured ∼50 different tone sequences and fingering. Principal component analysis and cluster analysis using an expectation-maximization algorithm revealed that joint velocities could be categorized into several patterns, which help to simplify the description of the movements of the multiple degrees of freedom of the hand. For the thumb keystroke, two distinct patterns of joint movement covariation emerged and they depended on the spatiotemporal patterns of the task. For example, the thumb-under maneuver was clearly separated into two clusters based on the direction of hand translation along the keyboard. While the pattern of the thumb joint velocities differed between these clusters, the motions at the metacarpo-phalangeal and proximal-phalangeal joints of the four fingers were more consistent. For a keystroke executed with one of the fingers, there were three distinct patterns of joint rotations, across which motion at the striking finger was fairly consistent, but motion of the other fingers was more variable. Furthermore, the amount of movement spillover of the striking finger to the adjacent fingers was small irrespective of the finger used for the keystroke. These findings describe an unparalleled amount of independent motion of the fingers.

  2. Using hierarchical clustering methods to classify motor activities of COPD patients from wearable sensor data

    Directory of Open Access Journals (Sweden)

    Reilly John J

    2005-06-01

    Full Text Available Abstract Background Advances in miniature sensor technology have led to the development of wearable systems that allow one to monitor motor activities in the field. A variety of classifiers have been proposed in the past, but little has been done toward developing systematic approaches to assess the feasibility of discriminating the motor tasks of interest and to guide the choice of the classifier architecture. Methods A technique is introduced to address this problem according to a hierarchical framework and its use is demonstrated for the application of detecting motor activities in patients with chronic obstructive pulmonary disease (COPD undergoing pulmonary rehabilitation. Accelerometers were used to collect data for 10 different classes of activity. Features were extracted to capture essential properties of the data set and reduce the dimensionality of the problem at hand. Cluster measures were utilized to find natural groupings in the data set and then construct a hierarchy of the relationships between clusters to guide the process of merging clusters that are too similar to distinguish reliably. It provides a means to assess whether the benefits of merging for performance of a classifier outweigh the loss of resolution incurred through merging. Results Analysis of the COPD data set demonstrated that motor tasks related to ambulation can be reliably discriminated from tasks performed in a seated position with the legs in motion or stationary using two features derived from one accelerometer. Classifying motor tasks within the category of activities related to ambulation requires more advanced techniques. While in certain cases all the tasks could be accurately classified, in others merging clusters associated with different motor tasks was necessary. When merging clusters, it was found that the proposed method could lead to more than 12% improvement in classifier accuracy while retaining resolution of 4 tasks. Conclusion Hierarchical

  3. Dexterity analysis and robot hand design

    Science.gov (United States)

    Li, LU; Soni, A. H.; Chunsheng, Cai; Brown, Max

    1988-01-01

    Understanding about a dexterous robot hand's motion ranges is important to the precision grasping and precision manipulation. A planar robot hand is studied for object orientation, including ranges of motion, measures with respect to the palm, position reaching of a point in the grasped object, and rotation of the object about the reference point. The rotational dexterity index and dexterity chart are introduced and an analysis procedure is developed for calculating these quantities. A design procedure for determining the hand kinematic parameters based on a desired partial or complete dexterity chart is also developed. These procedures have been tested in detail for a planar robot hand with two 2- or 3-link fingers. The derived results are shown to be useful to performance evaluation, kinematic parameter design, and grasping motion planning for a planar robot hand.

  4. Classified

    CERN Multimedia

    Computer Security Team

    2011-01-01

    In the last issue of the Bulletin, we have discussed recent implications for privacy on the Internet. But privacy of personal data is just one facet of data protection. Confidentiality is another one. However, confidentiality and data protection are often perceived as not relevant in the academic environment of CERN.   But think twice! At CERN, your personal data, e-mails, medical records, financial and contractual documents, MARS forms, group meeting minutes (and of course your password!) are all considered to be sensitive, restricted or even confidential. And this is not all. Physics results, in particular when being preliminary and pending scrutiny, are sensitive, too. Just recently, an ATLAS collaborator copy/pasted the abstract of an ATLAS note onto an external public blog, despite the fact that this document was clearly marked as an "Internal Note". Such an act was not only embarrassing to the ATLAS collaboration, and had negative impact on CERN’s reputation --- i...

  5. Motion Sickness

    Science.gov (United States)

    Motion sickness is a common problem in people traveling by car, train, airplanes, and especially boats. Anyone ... children, pregnant women, and people taking certain medicines. Motion sickness can start suddenly, with a queasy feeling ...

  6. Local feature saliency classifier for real-time intrusion monitoring

    Science.gov (United States)

    Buch, Norbert; Velastin, Sergio A.

    2014-07-01

    We propose a texture saliency classifier to detect people in a video frame by identifying salient texture regions. The image is classified into foreground and background in real time. No temporal image information is used during the classification. The system is used for the task of detecting people entering a sterile zone, which is a common scenario for visual surveillance. Testing is performed on the Imagery Library for Intelligent Detection Systems sterile zone benchmark dataset of the United Kingdom's Home Office. The basic classifier is extended by fusing its output with simple motion information, which significantly outperforms standard motion tracking. A lower detection time can be achieved by combining texture classification with Kalman filtering. The fusion approach running at 10 fps gives the highest result of F1=0.92 for the 24-h test dataset. The paper concludes with a detailed analysis of the computation time required for the different parts of the algorithm.

  7. Motion sickness

    NARCIS (Netherlands)

    Bles, W.; Bos, J.E.; Kruit, H.

    2000-01-01

    The number of recently published papers on motion sickness may convey the impression that motion sickness is far from being understood. The current review focusses on a concept which tends to unify the different manifestations and theories of motion sickness. The paper highlights the relations

  8. Hand Grasping Synergies As Biometrics

    Directory of Open Access Journals (Sweden)

    Ramana Vinjamuri

    2017-05-01

    Full Text Available Recently, the need for more secure identity verification systems has driven researchers to explore other sources of biometrics. This includes iris patterns, palm print, hand geometry, facial recognition, and movement patterns (hand motion, gait, and eye movements. Identity verification systems may benefit from the complexity of human movement that integrates multiple levels of control (neural, muscular, and kinematic. Using principal component analysis, we extracted spatiotemporal hand synergies (movement synergies from an object grasping dataset to explore their use as a potential biometric. These movement synergies are in the form of joint angular velocity profiles of 10 joints. We explored the effect of joint type, digit, number of objects, and grasp type. In its best configuration, movement synergies achieved an equal error rate of 8.19%. While movement synergies can be integrated into an identity verification system with motion capture ability, we also explored a camera-ready version of hand synergies—postural synergies. In this proof of concept system, postural synergies performed well, but only when specific postures were chosen. Based on these results, hand synergies show promise as a potential biometric that can be combined with other hand-based biometrics for improved security.

  9. Multi-constrained inverse kinematics for the human hand.

    Science.gov (United States)

    Samadani, Ali-Akbar; Kulić, Dana; Gorbet, Rob

    2012-01-01

    Measuring the spatial and temporal characteristics of hand movement is a challenging task due to the large number of degrees of freedom (DOF) in the hand. This paper presents a multi-constrained inverse kinematics (IK) approach for hand motion estimation from motion capture data. The IK approach satisfies a set of prioritized motion and postural constraints for each hand joint and link. The high-priority constraint is fully satisfied, while the fulfillment of the low-priority constraints is achieved as long as no conflict with the high-priority constraint exists. The proposed approach can aid marker-based motion capture technologies in accurately reconstructing discontinuities or erroneous marker trajectory segments resulting from occluded, missing, or flipped markers. The performance of the multi-constrained IK approach for the hand is tested for a full range of continuous hand motion.

  10. Compact Dexterous Robotic Hand

    Science.gov (United States)

    Lovchik, Christopher Scott (Inventor); Diftler, Myron A. (Inventor)

    2001-01-01

    A compact robotic hand includes a palm housing, a wrist section, and a forearm section. The palm housing supports a plurality of fingers and one or more movable palm members that cooperate with the fingers to grasp and/or release an object. Each flexible finger comprises a plurality of hingedly connected segments, including a proximal segment pivotally connected to the palm housing. The proximal finger segment includes at least one groove defining first and second cam surfaces for engagement with a cable. A plurality of lead screw assemblies each carried by the palm housing are supplied with power from a flexible shaft rotated by an actuator and output linear motion to a cable move a finger. The cable is secured within a respective groove and enables each finger to move between an opened and closed position. A decoupling assembly pivotally connected to a proximal finger segment enables a cable connected thereto to control movement of an intermediate and distal finger segment independent of movement of the proximal finger segment. The dexterous robotic hand closely resembles the function of a human hand yet is light weight and capable of grasping both heavy and light objects with a high degree of precision.

  11. Hybrid classifiers methods of data, knowledge, and classifier combination

    CERN Document Server

    Wozniak, Michal

    2014-01-01

    This book delivers a definite and compact knowledge on how hybridization can help improving the quality of computer classification systems. In order to make readers clearly realize the knowledge of hybridization, this book primarily focuses on introducing the different levels of hybridization and illuminating what problems we will face with as dealing with such projects. In the first instance the data and knowledge incorporated in hybridization were the action points, and then a still growing up area of classifier systems known as combined classifiers was considered. This book comprises the aforementioned state-of-the-art topics and the latest research results of the author and his team from Department of Systems and Computer Networks, Wroclaw University of Technology, including as classifier based on feature space splitting, one-class classification, imbalance data, and data stream classification.

  12. 76 FR 34761 - Classified National Security Information

    Science.gov (United States)

    2011-06-14

    ... Classified National Security Information AGENCY: Marine Mammal Commission. ACTION: Notice. SUMMARY: This..., ``Classified National Security Information,'' and 32 CFR part 2001, ``Classified National Security Information.... Executive Order 13526, ``Classified National Security Information,'' December 29, 2009 b. 32 CFR part 2001...

  13. Development of Oscillating Classifiers for Forage Chop Length ...

    African Journals Online (AJOL)

    The chop length produced by forage harvesting systems is an important factor in many aspects of silage production. The only reliable method being tedious hand measurement of every particle in a sample of chopped material. Three oscillating particle length classifiers have been developed. Each of them differed from one ...

  14. Contact Sensors for Dextrous Robotic Hands.

    Science.gov (United States)

    1986-06-01

    the object. The Lederman and Klatzky work emphasizes the importance of the hand as a sensory organ. A robotic hand can be made to perform some of these... Lederman , S., Klatzky , R., "Hand Movements: A Window into Haptic Object Recognition," Proc. of the 26th Annual Meeting of the Psychonomic Society, Boston...translated by an independent y axis. The redundant y motion permits exper- imentation with tracking operations; an object moving in the y direction of

  15. Classifying smoke in laparoscopic videos using SVM

    Directory of Open Access Journals (Sweden)

    Alshirbaji Tamer Abdulbaki

    2017-09-01

    Full Text Available Smoke in laparoscopic videos usually appears due to the use of electrocautery when cutting or coagulating tissues. Therefore, detecting smoke can be used for event-based annotation in laparoscopic surgeries by retrieving the events associated with the electrocauterization. Furthermore, smoke detection can also be used for automatic smoke removal. However, detecting smoke in laparoscopic video is a challenge because of the changeability of smoke patterns, the moving camera and the different lighting conditions. In this paper, we present a video-based smoke detection algorithm to detect smoke of different densities such as fog, low and high density in laparoscopic videos. The proposed method depends on extracting various visual features from the laparoscopic images and providing them to support vector machine (SVM classifier. Features are based on motion, colour and texture patterns of the smoke. We validated our algorithm using experimental evaluation on four laparoscopic cholecystectomy videos. These four videos were manually annotated by defining every frame as smoke or non-smoke frame. The algorithm was applied to the videos by using different feature combinations for classification. Experimental results show that the combination of all proposed features gives the best classification performance. The overall accuracy (i.e. correctly classified frames is around 84%, with the sensitivity (i.e. correctly detected smoke frames and the specificity (i.e. correctly detected non-smoke frames are 89% and 80%, respectively.

  16. 3D Bayesian contextual classifiers

    DEFF Research Database (Denmark)

    Larsen, Rasmus

    2000-01-01

    We extend a series of multivariate Bayesian 2-D contextual classifiers to 3-D by specifying a simultaneous Gaussian distribution for the feature vectors as well as a prior distribution of the class variables of a pixel and its 6 nearest 3-D neighbours.......We extend a series of multivariate Bayesian 2-D contextual classifiers to 3-D by specifying a simultaneous Gaussian distribution for the feature vectors as well as a prior distribution of the class variables of a pixel and its 6 nearest 3-D neighbours....

  17. [Does the hand solely belong in the hands of a qualified hand surgeon?

    Science.gov (United States)

    Güven, Asim; Kols, Kerstin; Fischer, Klaus; Schönberger, Michael; Allert, Sixtus

    2017-09-01

    Background In Germany, Hand Surgery is an additional qualification that can only be obtained by a three-year training after a completed residency in General Surgery, Plastic Surgery or Trauma and Orthopaedic Surgery. Nevertheless, injuries and diseases of the hand are also treated by physicians without this particular qualification. It is questionable whether these treatments more often lead to medical malpractice. Material and Methods 376 charges of medical malpractice in surgical treatments of the hand and forearm that were closed in 2014 and 2015 were collected by the Arbitration Board for Medical Liability Issues of the Medical Association of North Germany.Cases with proven medical malpractice were classified by the qualification of the physician in charge and analysed. A statistical analysis was performed with the use of the program SPSS (IBM). Results Medical malpractice was proven in 42 of 113 cases with an attending physician who held the additional qualification for Hand Surgery (37.2 %). For physicians without this qualification, the figures were 79 out of 155 (51.0 %) in the group of trauma and orthopaedic surgeons and 54 out of 108 (50.0 %) in the group of general surgeons. The differences between the hand surgeons and the trauma and orthopaedic surgeons (p = 0.017) and between hand surgeons and general surgeons were significant (p = 0.037). Conclusions It was shown that physicians with an additional qualification in hand surgery had signifcantly fewer proven medical malpratice cases than physicians without this qualification. The following trends were observed in the cases of the physicians without the additional qualification in hand surgery: underestimation of the severity of trauma to soft tissues and infections of the hand, errors in the surgical examination of the hand, including functional tests of tendons and nerves, as well as in diagnostic findings after X-ray studies of the hand. Georg Thieme Verlag KG Stuttgart · New York.

  18. Motion Mode Recognition and Step Detection Algorithms for Mobile Phone Users

    Science.gov (United States)

    Susi, Melania; Renaudin, Valérie; Lachapelle, Gérard

    2013-01-01

    Microelectromechanical Systems (MEMS) technology is playing a key role in the design of the new generation of smartphones. Thanks to their reduced size, reduced power consumption, MEMS sensors can be embedded in above mobile devices for increasing their functionalities. However, MEMS cannot allow accurate autonomous location without external updates, e.g., from GPS signals, since their signals are degraded by various errors. When these sensors are fixed on the user's foot, the stance phases of the foot can easily be determined and periodic Zero velocity UPdaTes (ZUPTs) are performed to bound the position error. When the sensor is in the hand, the situation becomes much more complex. First of all, the hand motion can be decoupled from the general motion of the user. Second, the characteristics of the inertial signals can differ depending on the carrying modes. Therefore, algorithms for characterizing the gait cycle of a pedestrian using a handheld device have been developed. A classifier able to detect motion modes typical for mobile phone users has been designed and implemented. According to the detected motion mode, adaptive step detection algorithms are applied. Success of the step detection process is found to be higher than 97% in all motion modes. PMID:23348038

  19. Motion Mode Recognition and Step Detection Algorithms for Mobile Phone Users

    Directory of Open Access Journals (Sweden)

    Gérard Lachapelle

    2013-01-01

    Full Text Available Microelectromechanical Systems (MEMS technology is playing a key role in the design of the new generation of smartphones. Thanks to their reduced size, reduced power consumption, MEMS sensors can be embedded in above mobile devices for increasing their functionalities. However, MEMS cannot allow accurate autonomous location without external updates, e.g., from GPS signals, since their signals are degraded by various errors. When these sensors are fixed on the user’s foot, the stance phases of the foot can easily be determined and periodic Zero velocity UPdaTes (ZUPTs are performed to bound the position error. When the sensor is in the hand, the situation becomes much more complex. First of all, the hand motion can be decoupled from the general motion of the user. Second, the characteristics of the inertial signals can differ depending on the carrying modes. Therefore, algorithms for characterizing the gait cycle of a pedestrian using a handheld device have been developed. A classifier able to detect motion modes typical for mobile phone users has been designed and implemented. According to the detected motion mode, adaptive step detection algorithms are applied. Success of the step detection process is found to be higher than 97% in all motion modes.

  20. Motion mode recognition and step detection algorithms for mobile phone users.

    Science.gov (United States)

    Susi, Melania; Renaudin, Valérie; Lachapelle, Gérard

    2013-01-24

    Microelectromechanical Systems (MEMS) technology is playing a key role in the design of the new generation of smartphones. Thanks to their reduced size, reduced power consumption, MEMS sensors can be embedded in above mobile devices for increasing their functionalities. However, MEMS cannot allow accurate autonomous location without external updates, e.g., from GPS signals, since their signals are degraded by various errors. When these sensors are fixed on the user's foot, the stance phases of the foot can easily be determined and periodic Zero velocity UPdaTes (ZUPTs) are performed to bound the position error. When the sensor is in the hand, the situation becomes much more complex. First of all, the hand motion can be decoupled from the general motion of the user. Second, the characteristics of the inertial signals can differ depending on the carrying modes. Therefore, algorithms for characterizing the gait cycle of a pedestrian using a handheld device have been developed. A classifier able to detect motion modes typical for mobile phone users has been designed and implemented. According to the detected motion mode, adaptive step detection algorithms are applied. Success of the step detection process is found to be higher than 97% in all motion modes.

  1. Measuring and Classifying Land-Based and Water-Based Daily Living Activities Using Inertial Sensors

    Directory of Open Access Journals (Sweden)

    Koichi Kaneda

    2018-02-01

    Full Text Available This study classified motions of typical daily activities in both environments using inertial sensors attached at the chest and thigh to determine the optimal site to attach the sensors. Walking, chair standing and sitting, and step climbing were conducted both in water and on land. A mean, variance and skewness for acceleration data was calculated. A Neural Network and Decision Tree algorithm was applied for classifying each motion in both environments. In total, 126 and 144 samples of thigh and chest data sets were obtained for analysis in each condition. For the chest data, the algorithm correctly classified 80% of the water-based activities, and 90% of the land-based. Whilst the thigh sensor correctly classified 97% of water-based and 100% of land-based activities. The inertial sensor placed on the thigh provided the most appropriate protocol for classifying motions for land-based and water-based typical daily life activities.

  2. Coping with congenital hand differences.

    Science.gov (United States)

    Franzblau, Lauren E; Chung, Kevin C; Carlozzi, Noelle; Chin, Autumn Y T; Nellans, Kate W; Waljee, Jennifer F

    2015-04-01

    Although functional outcomes following reconstruction for congenital hand differences are frequently described, much less is known regarding children's ability to cope with the psychosocial effects of these conditions. The authors qualitatively explored stress and coping mechanisms among children following reconstructive surgery for congenital hand differences. Forty patients and their parents participated in semistructured interviews examining children's stress related to hand functioning and appearance, emotional responses to stress, and coping strategies. Interviews were audio-taped, transcribed, and analyzed thematically. A consensus taxonomy for classifying content evolved from comparisons of coding by two reviewers. Themes expressed by participants were studied for patterns of connection and grouped into broader categories. In this sample, 58 percent of children and 40 percent of parents reported stress related to congenital hand differences, attributed to functional deficits (61 percent), hand appearance (27 percent), social interactions (58 percent), and emotional reactions (46 percent). Among the 18 children who reported stress, 43 percent of parents were not aware of the presence of stress. Eight coping strategies emerged, including humor (12 percent), self-acceptance (21 percent), avoidance (27 percent), seeking external support (30 percent), concealment (30 percent), educating others (9 percent), support programs (21 percent), and religion (24 percent). Although children with congenital hand differences often experience emotional stress related to functional limitations and aesthetic deformities, many apply positive coping mechanisms that enhance self-esteem. Clinicians caring for children with congenital hand differences should inform families about potential sources of stress to direct resources toward strengthening coping strategies and support systems.

  3. Classifying Cereal Data (Earlier Methods)

    Science.gov (United States)

    The DSQ includes questions about cereal intake and allows respondents up to two responses on which cereals they consume. We classified each cereal reported first by hot or cold, and then along four dimensions: density of added sugars, whole grains, fiber, and calcium.

  4. Classification of hand eczema

    DEFF Research Database (Denmark)

    Agner, T; Aalto-Korte, K; Andersen, K E

    2015-01-01

    BACKGROUND: Classification of hand eczema (HE) is mandatory in epidemiological and clinical studies, and also important in clinical work. OBJECTIVES: The aim was to test a recently proposed classification system of HE in clinical practice in a prospective multicentre study. METHODS: Patients were...... HE, protein contact dermatitis/contact urticaria, hyperkeratotic endogenous eczema and vesicular endogenous eczema, respectively. An additional diagnosis was given if symptoms indicated that factors additional to the main diagnosis were of importance for the disease. RESULTS: Four hundred and twenty......%) could not be classified. 38% had one additional diagnosis and 26% had two or more additional diagnoses. Eczema on feet was found in 30% of the patients, statistically significantly more frequently associated with hyperkeratotic and vesicular endogenous eczema. CONCLUSION: We find that the classification...

  5. Hand gesture recognition in confined spaces with partial observability and occultation constraints

    Science.gov (United States)

    Shirkhodaie, Amir; Chan, Alex; Hu, Shuowen

    2016-05-01

    Human activity detection and recognition capabilities have broad applications for military and homeland security. These tasks are very complicated, however, especially when multiple persons are performing concurrent activities in confined spaces that impose significant obstruction, occultation, and observability uncertainty. In this paper, our primary contribution is to present a dedicated taxonomy and kinematic ontology that are developed for in-vehicle group human activities (IVGA). Secondly, we describe a set of hand-observable patterns that represents certain IVGA examples. Thirdly, we propose two classifiers for hand gesture recognition and compare their performance individually and jointly. Finally, we present a variant of Hidden Markov Model for Bayesian tracking, recognition, and annotation of hand motions, which enables spatiotemporal inference to human group activity perception and understanding. To validate our approach, synthetic (graphical data from virtual environment) and real physical environment video imagery are employed to verify the performance of these hand gesture classifiers, while measuring their efficiency and effectiveness based on the proposed Hidden Markov Model for tracking and interpreting dynamic spatiotemporal IVGA scenarios.

  6. Action Recognition using Motion Primitives

    DEFF Research Database (Denmark)

    Moeslund, Thomas B.; Fihl, Preben; Holte, Michael Boelstoft

    the actions as a sequence of temporal isolated instances, denoted primitives. These primitives are each defined by four features extracted from motion images. The primitives are recognized in each frame based on a trained classifier resulting in a sequence of primitives. From this sequence we recognize...

  7. Motion Primitives for Action Recognition

    DEFF Research Database (Denmark)

    Fihl, Preben; Holte, Michael Boelstoft; Moeslund, Thomas B.

    2007-01-01

    the actions as a sequence of temporal isolated instances, denoted primitives. These primitives are each defined by four features extracted from motion images. The primitives are recognized in each frame based on a trained classifier resulting in a sequence of primitives. From this sequence we recognize...

  8. Fingerprint prediction using classifier ensembles

    CSIR Research Space (South Africa)

    Molale, P

    2011-11-01

    Full Text Available for improving fingerprint prediction accuracy. The study is organized as follows. The next section briefly gives details of the five classifiers used in this study, followed by a description of different types of MCS architectures. Then the robustness... discrimination (LgDA): Logistic Discrimination Analysis (LgDA), due to Cox (1966) is related to logistic regression analysis. The dependent variable can only take values of 0 and 1, say, given two classes. This technique is partially parametric...

  9. Clustering signatures classify directed networks

    Science.gov (United States)

    Ahnert, S. E.; Fink, T. M. A.

    2008-09-01

    We use a clustering signature, based on a recently introduced generalization of the clustering coefficient to directed networks, to analyze 16 directed real-world networks of five different types: social networks, genetic transcription networks, word adjacency networks, food webs, and electric circuits. We show that these five classes of networks are cleanly separated in the space of clustering signatures due to the statistical properties of their local neighborhoods, demonstrating the usefulness of clustering signatures as a classifier of directed networks.

  10. Comparing motion induction in lateral motion and motion in depth

    OpenAIRE

    Harris, Julie; German, KJ

    2008-01-01

    Induced motion, the apparent motion of an object when a nearby object moves, has been shown to occur in a variety of different conditions, including motion in depth. Here we explore whether similar patterns of induced motion result from induction in a lateral direction (frontoparallel motion) or induction in depth. We measured the magnitude of induced motion in a stationary target for: (a) binocularly viewed lateral motion of a pair of inducers, where the angular motion is in the same directi...

  11. Motion correction in MRI of the brain

    Science.gov (United States)

    Godenschweger, F; Kägebein, U; Stucht, D; Yarach, U; Sciarra, A; Yakupov, R; Lüsebrink, F; Schulze, P; Speck, O

    2016-01-01

    Subject motion in MRI is a relevant problem in the daily clinical routine as well as in scientific studies. Since the beginning of clinical use of MRI, many research groups have developed methods to suppress or correct motion artefacts. This review focuses on rigid body motion correction of head and brain MRI and its application in diagnosis and research. It explains the sources and types of motion and related artefacts, classifies and describes existing techniques for motion detection, compensation and correction and lists established and experimental approaches. Retrospective motion correction modifies the MR image data during the reconstruction, while prospective motion correction performs an adaptive update of the data acquisition. Differences, benefits and drawbacks of different motion correction methods are discussed. PMID:26864183

  12. Force and motion

    CERN Document Server

    Robertson, William C

    2002-01-01

    Intimidated by inertia? Frightened by forces? Mystified by Newton s law of motion? You re not alone and help is at hand. The stop Faking It! Series is perfect for science teachers, home-schoolers, parents wanting to help with homework all of you who need a jargon-free way to learn the background for teaching middle school physical science with confidence. With Bill Roberton as your friendly, able but somewhat irreverent guide, you will discover you CAN come to grips with the basics of force and motion. Combining easy-to-understand explanations with activities using commonly found equipment, this book will lead you through Newton s laws to the physics of space travel. The book is as entertaining as it is informative. Best of all, the author understands the needs of adults who want concrete examples, hands-on activities, clear language, diagrams and yes, a certain amount of empathy. Ideas For Use Newton's laws, and all of the other motion principles presented in this book, do a good job of helping us to underst...

  13. Development and evaluation of a hand tracker using depth images captured from an overhead perspective.

    Science.gov (United States)

    Czarnuch, Stephen; Mihailidis, Alex

    2015-03-27

    We present the development and evaluation of a robust hand tracker based on single overhead depth images for use in the COACH, an assistive technology for people with dementia. The new hand tracker was designed to overcome limitations experienced by the COACH in previous clinical trials. We train a random decision forest classifier using ∼5000 manually labeled, unbalanced, training images. Hand positions from the classifier are translated into task actions based on proximity to environmental objects. Tracker performance is evaluated using a large set of ∼24 000 manually labeled images captured from 41 participants in a fully-functional washroom, and compared to the system's previous colour-based hand tracker. Precision and recall were 0.994 and 0.938 for the depth tracker compared to 0.981 and 0.822 for the colour tracker with the current data, and 0.989 and 0.466 in the previous study. The improved tracking performance supports integration of the depth-based tracker into the COACH toward unsupervised, real-world trials. Implications for Rehabilitation The COACH is an intelligent assistive technology that can enable people with cognitive disabilities to stay at home longer, supporting the concept of aging-in-place. Automated prompting systems, a type of intelligent assistive technology, can help to support the independent completion of activities of daily living, increasing the independence of people with cognitive disabilities while reducing the burden of care experienced by caregivers. Robust motion tracking using depth imaging supports the development of intelligent assistive technologies like the COACH. Robust motion tracking also has application to other forms of assistive technologies including gaming, human-computer interaction and automated assessments.

  14. Rigid Motion and Adapted Frames

    Science.gov (United States)

    Lyle, Stephen N.

    The aim here is to describe the rigid motion of a continuous medium in special and general relativity. Section 7.1 defines a rigid rod in special relativity, and Sect. 7.2 shows the link with the space coordinates of a certain kind of accelerating frame in flat spacetimes. Section 7.3 then sets up a notation for describing the arbitrary smooth motion of a continuous medium in general curved spacetimes, defining the proper metric of such a medium. Section 7.4 singles out rigid motions and shows that the rod in Sect. 7.1 undergoes rigid motion in the more generally defined sense. Section 7.5 defines a rate of strain tensor for a continuous medium in general relativity and reformulates the rigidity criterion. Section 7.6 aims to classify all possible rigid motions in special relativity, reemphasizing the link with semi-Euclidean frames adapted to accelerating observers in special relativity. Then, Sects. 7.7 and 7.8 describe rigid motion without rotation and rigid rotation, respectively. Along the way we introduce the notion of Fermi-Walker transport and discuss its relevance for rigid motions. Section 7.9 brings together all the above themes in an account of a recent generalization of the notion of uniform acceleration, thereby characterizing a wide class of rigid motions.

  15. Dimensionality Reduction Through Classifier Ensembles

    Science.gov (United States)

    Oza, Nikunj C.; Tumer, Kagan; Norwig, Peter (Technical Monitor)

    1999-01-01

    In data mining, one often needs to analyze datasets with a very large number of attributes. Performing machine learning directly on such data sets is often impractical because of extensive run times, excessive complexity of the fitted model (often leading to overfitting), and the well-known "curse of dimensionality." In practice, to avoid such problems, feature selection and/or extraction are often used to reduce data dimensionality prior to the learning step. However, existing feature selection/extraction algorithms either evaluate features by their effectiveness across the entire data set or simply disregard class information altogether (e.g., principal component analysis). Furthermore, feature extraction algorithms such as principal components analysis create new features that are often meaningless to human users. In this article, we present input decimation, a method that provides "feature subsets" that are selected for their ability to discriminate among the classes. These features are subsequently used in ensembles of classifiers, yielding results superior to single classifiers, ensembles that use the full set of features, and ensembles based on principal component analysis on both real and synthetic datasets.

  16. Thai Finger-Spelling Recognition Using a Cascaded Classifier Based on Histogram of Orientation Gradient Features

    Directory of Open Access Journals (Sweden)

    Kittasil Silanon

    2017-01-01

    Full Text Available Hand posture recognition is an essential module in applications such as human-computer interaction (HCI, games, and sign language systems, in which performance and robustness are the primary requirements. In this paper, we proposed automatic classification to recognize 21 hand postures that represent letters in Thai finger-spelling based on Histogram of Orientation Gradient (HOG feature (which is applied with more focus on the information within certain region of the image rather than each single pixel and Adaptive Boost (i.e., AdaBoost learning technique to select the best weak classifier and to construct a strong classifier that consists of several weak classifiers to be cascaded in detection architecture. We collected 21 static hand posture images from 10 subjects for testing and training in Thai letters finger-spelling. The parameters for the training process have been adjusted in three experiments, false positive rates (FPR, true positive rates (TPR, and number of training stages (N, to achieve the most suitable training model for each hand posture. All cascaded classifiers are loaded into the system simultaneously to classify different hand postures. A correlation coefficient is computed to distinguish the hand postures that are similar. The system achieves approximately 78% accuracy on average on all classifier experiments.

  17. Informed Use of Motion Synthesis Methods

    NARCIS (Netherlands)

    van Welbergen, H.; Ruttkay, Z.M.; Varga, B.; Egges, A.; Kamphuis, A.; Overmars, M.

    2008-01-01

    In virtual human (VH) applications, and in particular, games, motions with different functions are to be synthesized, such as communicative and manipulative hand gestures, locomotion, expression of emotions or identity of the character. In the bodily behavior, the primary motions define the

  18. Defining the configuration of a hand hygiene monitoring system.

    Science.gov (United States)

    Boscart, Veronique M; Levchenko, Alexander I; Fernie, Geoff R

    2010-09-01

    Inadequate hand hygiene (HH) by staff leads to hospital-acquired infections, high morbidity, and mortality rates for patients and a growing economic impact. The Toronto Rehabilitation Institute developed a different approach to measure and increase HH frequency, that is, a monitoring system that automatically detects HH opportunities associated with approaching and leaving patient areas. The aim of this study was to collect and classify data on HH opportunities to (1) evaluate the percentage of opportunities that the system could detect and (2) identify the system configuration. An observational study collected time-stamped data on HH opportunities and methods of nurses on a complex care unit. Data were processed according to the Ministry of Health of Ontario, Canada. The data were subsequently classified corresponding to the motion patterns of nurses to identify areas that need to be controlled by the system. A total of 1093 HH opportunities were recorded over 94 hours from 15 nurses, with 919 opportunities associated with entering or leaving patient environments. The monitoring system would be able to detect and process 85% of HH opportunities in a complex care setting. To process these opportunities, the system configuration should include monitoring of patient room entrances, individual patient environments in multibed rooms, and shared ensuite bathrooms.

  19. Operator Fractional Brownian Motion and Martingale Differences

    Directory of Open Access Journals (Sweden)

    Hongshuai Dai

    2014-01-01

    Full Text Available It is well known that martingale difference sequences are very useful in applications and theory. On the other hand, the operator fractional Brownian motion as an extension of the well-known fractional Brownian motion also plays an important role in both applications and theory. In this paper, we study the relation between them. We construct an approximation sequence of operator fractional Brownian motion based on a martingale difference sequence.

  20. Optimal threshold estimation for binary classifiers using game theory.

    Science.gov (United States)

    Sanchez, Ignacio Enrique

    2016-01-01

    Many bioinformatics algorithms can be understood as binary classifiers. They are usually compared using the area under the receiver operating characteristic ( ROC) curve. On the other hand, choosing the best threshold for practical use is a complex task, due to uncertain and context-dependent skews in the abundance of positives in nature and in the yields/costs for correct/incorrect classification. We argue that considering a classifier as a player in a zero-sum game allows us to use the minimax principle from game theory to determine the optimal operating point. The proposed classifier threshold corresponds to the intersection between the ROC curve and the descending diagonal in ROC space and yields a minimax accuracy of 1-FPR. Our proposal can be readily implemented in practice, and reveals that the empirical condition for threshold estimation of "specificity equals sensitivity" maximizes robustness against uncertainties in the abundance of positives in nature and classification costs.

  1. Hand-Based Gesture Recognition for Vehicular Applications Using IR-UWB Radar.

    Science.gov (United States)

    Khan, Faheem; Leem, Seong Kyu; Cho, Sung Ho

    2017-04-11

    Modern cars continue to offer more and more functionalities due to which they need a growing number of commands. As the driver tries to monitor the road and the graphic user interface simultaneously, his/her overall efficiency is reduced. In order to reduce the visual attention necessary for monitoring, a gesture-based user interface is very important. In this paper, gesture recognition for a vehicle through impulse radio ultra-wideband (IR-UWB) radar is discussed. The gestures can be used to control different electronic devices inside a vehicle. The gestures are based on human hand and finger motion. We have implemented a real-time version using only one radar sensor. Studies on gesture recognition using IR-UWB radar have rarely been carried out, and some studies are merely simple methods using the magnitude of the reflected signal or those whose performance deteriorates largely due to changes in distance or direction. In this study, we propose a new hand-based gesture recognition algorithm that works robustly against changes in distance or direction while responding only to defined gestures by ignoring meaningless motions. We used three independent features, i.e., variance of the probability density function (pdf) of the magnitude histogram, time of arrival (TOA) variation and the frequency of the reflected signal, to classify the gestures. A data fitting method is included to differentiate between gesture signals and unintended hand or body motions. We have used the clustering technique for the classification of the gestures. Moreover, the distance information is used as an additional input parameter to the clustering algorithm, such that the recognition technique will not be vulnerable to distance change. The hand-based gesture recognition proposed in this paper would be a key technology of future automobile user interfaces.

  2. Defining and Classifying Interest Groups

    DEFF Research Database (Denmark)

    Baroni, Laura; Carroll, Brendan; Chalmers, Adam

    2014-01-01

    The interest group concept is defined in many different ways in the existing literature and a range of different classification schemes are employed. This complicates comparisons between different studies and their findings. One of the important tasks faced by interest group scholars engaged...... in large-N studies is therefore to define the concept of an interest group and to determine which classification scheme to use for different group types. After reviewing the existing literature, this article sets out to compare different approaches to defining and classifying interest groups with a sample...... of lobbying actors coded according to different coding schemes. We systematically assess the performance of different schemes by comparing how actor types in the different schemes differ with respect to a number of background characteristics. This is done in a two-stage approach where we first cluster actors...

  3. One pass learning for generalized classifier neural network.

    Science.gov (United States)

    Ozyildirim, Buse Melis; Avci, Mutlu

    2016-01-01

    Generalized classifier neural network introduced as a kind of radial basis function neural network, uses gradient descent based optimized smoothing parameter value to provide efficient classification. However, optimization consumes quite a long time and may cause a drawback. In this work, one pass learning for generalized classifier neural network is proposed to overcome this disadvantage. Proposed method utilizes standard deviation of each class to calculate corresponding smoothing parameter. Since different datasets may have different standard deviations and data distributions, proposed method tries to handle these differences by defining two functions for smoothing parameter calculation. Thresholding is applied to determine which function will be used. One of these functions is defined for datasets having different range of values. It provides balanced smoothing parameters for these datasets through logarithmic function and changing the operation range to lower boundary. On the other hand, the other function calculates smoothing parameter value for classes having standard deviation smaller than the threshold value. Proposed method is tested on 14 datasets and performance of one pass learning generalized classifier neural network is compared with that of probabilistic neural network, radial basis function neural network, extreme learning machines, and standard and logarithmic learning generalized classifier neural network in MATLAB environment. One pass learning generalized classifier neural network provides more than a thousand times faster classification than standard and logarithmic generalized classifier neural network. Due to its classification accuracy and speed, one pass generalized classifier neural network can be considered as an efficient alternative to probabilistic neural network. Test results show that proposed method overcomes computational drawback of generalized classifier neural network and may increase the classification performance. Copyright

  4. Clean Hands Count

    Medline Plus

    Full Text Available ... hand hygiene and empower patients to play a role in their care by asking or reminding healthcare providers to clean their hands. See: ... Hand Washing For Nurses - Duration: 2:57. Kevin Gorin 213,219 views ...

  5. Hand and Wrist Tumors

    Science.gov (United States)

    ... Therapist? Media Find a Hand Surgeon Home Anatomy Hand Tumors and Wrist Tumors Email to a friend * ... are seen commonly. CAUSES Common Types of Wrist Hand Tumors Ganglion Cysts (Figure 1): This is the ...

  6. Hand splint - slideshow

    Science.gov (United States)

    ... this page: //medlineplus.gov/ency/presentations/100142.htm Hand splint - series—Indications To use the sharing features ... out of 4 Overview To begin making a hand dressing, place the injured hand around a cloth ...

  7. Hand Hygiene Saves Lives

    Medline Plus

    Full Text Available ... and public health professionals. More > Hand Hygiene Saves Lives (5:10) Recommend on Facebook Tweet Share Compartir Hand Hygiene Saves Lives Hand Hygiene Saves Lives Transcript [28 KB, 2 pages] High resolution [22. ...

  8. Hand Hygiene Saves Lives

    Science.gov (United States)

    ... and public health professionals. More > Hand Hygiene Saves Lives (5:10) Recommend on Facebook Tweet Share Compartir Hand Hygiene Saves Lives Hand Hygiene Saves Lives Transcript [28 KB, 2 pages] High resolution [22. ...

  9. Factors associated with combined hand and foot eczema Associations between foot and hand eczema

    DEFF Research Database (Denmark)

    Agner, T; Aalto-Korte, K; Andersen, K E

    2017-01-01

    BACKGROUND: As for hand eczema, the etiology of foot eczema is multifactorial, and not very well understood. The aim of the present study was to identify factors associated with foot eczema in a cohort of hand eczema patients being classified into different subgroups. METHODS: Associations between...... foot and hand eczema was studied in a cross sectional design in a cohort of hand eczema patients. Consecutive patients were recruited from 9 different European Centres during the period October 2011 - September 2012. Data on demographic factors, presence of foot eczema, hand eczema duration...... and severity, and whether the hand eczema was work-related or not were available, as well as patch-test results. RESULTS: Of a total of 427 hand eczema patients identified, information on foot eczema was available in 419 patients who were included in the present study. 125 patients (29.8 %) had concomitant...

  10. Early Passive Movement in flexor tendon injuries of the hand.

    Science.gov (United States)

    Quadlbauer, S; Pezzei, Ch; Jurkowitsch, J; Reb, P; Beer, T; Leixnering, M

    2016-02-01

    Flexor tendon injuries are underestimated considering their anatomical function in the hand. According to the publications of Kleinert, Verdan and Kessler, primary suturing of the flexor tendon combined with immediate postoperative physiotherapy in terms of "Early Passive Movement" became the standard form of therapy following acute flexor tendon injuries of the hand. In a study between 2007 and 2009, a total of 115 flexor tendon injuries were analysed retrospectively. All patients were treated using a two-strand repair technique according to Zechner. They received physiotherapy from the first postoperative day according to the Viennese flexor tendon rehabilitation protocol. For statistical purposes, the factors: age, gender, range of motion (ROM), follow up interval, affected flexor tendon and zone were analysed. The time between injury and surgery was also determined, classified into groups and included in the study. On the basis of the range of motion AROM, the Buck-Gramcko and modified Strickland Score was calculated. The mean follow-up interval was 7 months. Using the Buck-Gramcko and Strickland Score an "excellent" overall result was achieved. Complications occurred in 3.5 %, one secondary rupture (0.9 %), two tendon adhaesions requiring tenolysis (1.7 %) and one case of infection (0.9 %). The time interval between injury and operation, gender, affected zone, flexor tendon and affected finger nerve had no influence on the Buck-Gramcko and Strickland Score. Using Zechner's core suture technique as the primary treatment, combined with immediate postoperative physiotherapy in terms of "Early Passive Movement" according to the Viennese flexor tendon rehabilitation programme, an excellent clinical outcome and low complication rate was acchieved. IV: case series.

  11. Natural control capabilities of robotic hands by hand amputated subjects.

    Science.gov (United States)

    Atzori, Manfredo; Gijsberts, Arjan; Caputo, Barbara; Muller, Henning

    2014-01-01

    People with transradial hand amputations who own a myoelectric prosthesis currently have some control capabilities via sEMG. However, the control systems are still limited and not natural. The Ninapro project is aiming at helping the scientific community to overcome these limits through the creation of publicly available electromyography data sources to develop and test machine learning algorithms. In this paper we describe the movement classification results gained from three subjects with an homogeneous level of amputation, and we compare them with the results of 40 intact subjects. The number of considered subjects can seem small at first sight, but it is not considering the literature of the field (which has to face the difficulty of recruiting trans-radial hand amputated subjects). The classification is performed with four different classifiers and the obtained balanced classification rates are up to 58.6% on 50 movements, which is an excellent result compared to the current literature. Successively, for each subject we find a subset of up to 9 highly independent movements, (defined as movements that can be distinguished with more than 90% accuracy), which is a deeply innovative step in literature. The natural control of a robotic hand in so many movements could lead to an immediate progress in robotic hand prosthetics and it could deeply change the quality of life of amputated subjects.

  12. The Application of Leap Motion in Astronaut Virtual Training

    Science.gov (United States)

    Qingchao, Xie; Jiangang, Chao

    2017-03-01

    With the development of computer vision, virtual reality has been applied in astronaut virtual training. As an advanced optic equipment to track hand, Leap Motion can provide precise and fluid tracking of hands. Leap Motion is suitable to be used as gesture input device in astronaut virtual training. This paper built an astronaut virtual training based Leap Motion, and established the mathematics model of hands occlusion. At last the ability of Leap Motion to handle occlusion was analysed. A virtual assembly simulation platform was developed for astronaut training, and occlusion gesture would influence the recognition process. The experimental result can guide astronaut virtual training.

  13. Hierarchical mixtures of naive Bayes classifiers

    OpenAIRE

    Wiering, M.A.

    2002-01-01

    Naive Bayes classifiers tend to perform very well on a large number of problem domains, although their representation power is quite limited compared to more sophisticated machine learning algorithms. In this pa- per we study combining multiple naive Bayes classifiers by using the hierar- chical mixtures of experts system. This system, which we call hierarchical mixtures of naive Bayes classifiers, is compared to a simple naive Bayes classifier and to using bagging and boosting for combining ...

  14. Hand Tool Manipulation and Self-Presence in VR

    National Research Council Canada - National Science Library

    Badler, Norman

    1999-01-01

    The objective was to purchase Virtual Reality and associated computing equipment to enable the investigation of full body avatar control and self-presence using both fine motion hand manipulation plus...

  15. 15 CFR 4.8 - Classified Information.

    Science.gov (United States)

    2010-01-01

    ... 15 Commerce and Foreign Trade 1 2010-01-01 2010-01-01 false Classified Information. 4.8 Section 4... INFORMATION Freedom of Information Act § 4.8 Classified Information. In processing a request for information..., the information shall be reviewed to determine whether it should remain classified. Ordinarily the...

  16. Aggregation Operator Based Fuzzy Pattern Classifier Design

    DEFF Research Database (Denmark)

    Mönks, Uwe; Larsen, Henrik Legind; Lohweg, Volker

    2009-01-01

    This paper presents a novel modular fuzzy pattern classifier design framework for intelligent automation systems, developed on the base of the established Modified Fuzzy Pattern Classifier (MFPC) and allows designing novel classifier models which are hardware-efficiently implementable. The perfor...

  17. Denmark: HAND in HAND Policy Questionnaire

    DEFF Research Database (Denmark)

    Laursen, Hilmar Dyrborg; Nielsen, Birgitte Lund

    2018-01-01

    Som del af det internationale EU finansierede projekt Hand in Hand, der fokuserer på de såkaldte SEI-kompetencer (Social, Emotional, Intercultural), er dansk policy i relation til elevernes sociale, emotionelle og interkulturelle læring kortlagt i denne rapport. Der refereres bl.a. til "elevernes...

  18. DFRFT: A Classified Review of Recent Methods with Its Application

    Directory of Open Access Journals (Sweden)

    Ashutosh Kumar Singh

    2013-01-01

    Full Text Available In the literature, there are various algorithms available for computing the discrete fractional Fourier transform (DFRFT. In this paper, all the existing methods are reviewed, classified into four categories, and subsequently compared to find out the best alternative from the view point of minimal computational error, computational complexity, transform features, and additional features like security. Subsequently, the correlation theorem of FRFT has been utilized to remove significantly the Doppler shift caused due to motion of receiver in the DSB-SC AM signal. Finally, the role of DFRFT has been investigated in the area of steganography.

  19. Quantitative measurement of motor symptoms in Parkinson's disease: a study with full-body motion capture data.

    Science.gov (United States)

    Das, Samarjit; Trutoiu, Laura; Murai, Akihiko; Alcindor, Dunbar; Oh, Michael; De la Torre, Fernando; Hodgins, Jessica

    2011-01-01

    Recent advancements in the portability and affordability of optical motion capture systems have opened the doors to various clinical applications. In this paper, we look into the potential use of motion capture data for the quantitative analysis of motor symptoms in Parkinson's Disease (PD). The standard of care, human observer-based assessments of the motor symptoms, can be very subjective and are often inadequate for tracking mild symptoms. Motion capture systems, on the other hand, can potentially provide more objective and quantitative assessments. In this pilot study, we perform full-body motion capture of Parkinson's patients with deep brain stimulator off-drugs and with stimulators on and off. Our experimental results indicate that the quantitative measure on spatio-temporal statistics learnt from the motion capture data reveal distinctive differences between mild and severe symptoms. We used a Support Vector Machine (SVM) classifier for discriminating mild vs. severe symptoms with an average accuracy of approximately 90%. Finally, we conclude that motion capture technology could potentially be an accurate, reliable and effective tool for statistical data mining on motor symptoms related to PD. This would enable us to devise more effective ways to track the progression of neurodegenerative movement disorders.

  20. Hand-Mixing with Chopsticks: Regulations of Hand Movements by Ingredient Properties and Tool Length

    Directory of Open Access Journals (Sweden)

    Mishima Hiroyuki

    2011-12-01

    Full Text Available This study was designed to demonstrate the process of mixing different kinds of ingredients, particularly focusing on hand movements that manage chopsticks. Participants were requested to stir two combinations of ingredients: oil and water, as well as brown and white sugar by using either short or long chopsticks. Motion data were analyzed by three methods: the spectral analysis (short-term Fourier transform: STFT, the recurrence quantification analysis (RQA, and the detrended fluctuation analysis (DFA. It was found that hand motions in mixing varied flexibly according to the relationship between the length of tool (short/long and the properties of stirred ingredients.

  1. New frontiers in the rubber hand experiment: when a robotic hand becomes one's own.

    Science.gov (United States)

    Caspar, Emilie A; De Beir, Albert; Magalhaes De Saldanha Da Gama, Pedro A; Yernaux, Florence; Cleeremans, Axel; Vanderborght, Bram

    2015-09-01

    The rubber hand illusion is an experimental paradigm in which participants consider a fake hand to be part of their body. This paradigm has been used in many domains of psychology (i.e., research on pain, body ownership, agency) and is of clinical importance. The classic rubber hand paradigm nevertheless suffers from limitations, such as the absence of active motion or the reliance on approximate measurements, which makes strict experimental conditions difficult to obtain. Here, we report on the development of a novel technology-a robotic, user- and computer-controllable hand-that addresses many of the limitations associated with the classic rubber hand paradigm. Because participants can actively control the robotic hand, the device affords higher realism and authenticity. Our robotic hand has a comparatively low cost and opens up novel and innovative methods. In order to validate the robotic hand, we have carried out three experiments. The first two studies were based on previous research using the rubber hand, while the third was specific to the robotic hand. We measured both sense of agency and ownership. Overall, results show that participants experienced a "robotic hand illusion" in the baseline conditions. Furthermore, we also replicated previous results about agency and ownership.

  2. [Hand and endocrine diseases].

    Science.gov (United States)

    Wémeau, Jean-Louis; Ryndak, Amélie; Karrouz, Wassila; Balavoine, Anne-Sophie; Baudoux, Florence

    2013-12-01

    The whole of hormones likely influence state of hands, modifying colouring and trophicity of the skin and having influence on its muscular, tendineous, osseous, articular components. Thus state of the hands contributes to the recognition of the endocrine diseases: hot and moist hands of the Graves' disease, dry, cold and infiltrated hands in myxoedema, pale and fine hands of hypopituitarism, broad and thick hand of acromegaly, brachymetacarpia in the pseudohypoparathyroidism… Diabetes exposes particularly to tendineous and articular retractions, to whitlows and ungual mycosis. Copyright © 2013. Published by Elsevier Masson SAS.

  3. A Bio-Inspired, Motion-Based Analysis of Crowd Behavior Attributes Relevance to Motion Transparency, Velocity Gradients, and Motion Patterns

    Science.gov (United States)

    Raudies, Florian; Neumann, Heiko

    2012-01-01

    The analysis of motion crowds is concerned with the detection of potential hazards for individuals of the crowd. Existing methods analyze the statistics of pixel motion to classify non-dangerous or dangerous behavior, to detect outlier motions, or to estimate the mean throughput of people for an image region. We suggest a biologically inspired model for the analysis of motion crowds that extracts motion features indicative for potential dangers in crowd behavior. Our model consists of stages for motion detection, integration, and pattern detection that model functions of the primate primary visual cortex area (V1), the middle temporal area (MT), and the medial superior temporal area (MST), respectively. This model allows for the processing of motion transparency, the appearance of multiple motions in the same visual region, in addition to processing opaque motion. We suggest that motion transparency helps to identify “danger zones” in motion crowds. For instance, motion transparency occurs in small exit passages during evacuation. However, motion transparency occurs also for non-dangerous crowd behavior when people move in opposite directions organized into separate lanes. Our analysis suggests: The combination of motion transparency and a slow motion speed can be used for labeling of candidate regions that contain dangerous behavior. In addition, locally detected decelerations or negative speed gradients of motions are a precursor of danger in crowd behavior as are globally detected motion patterns that show a contraction toward a single point. In sum, motion transparency, image speeds, motion patterns, and speed gradients extracted from visual motion in videos are important features to describe the behavioral state of a motion crowd. PMID:23300930

  4. Mechanical design and control of a new myoelectric hand prosthesis

    NARCIS (Netherlands)

    Peerdeman, B.; Stramigioli, Stefano; Hekman, Edsko E.G.; Brouwer, Dannis Michel; Misra, Sarthak

    2011-01-01

    The development of modern, myoelectrically controlled hand prostheses can be difficult, due to the many requirements its mechanical design and control system need to fulfill [1]. The hand should be controllable with few input signals, while being able to perform a wide range of motions. It should be

  5. Error minimizing algorithms for nearest eighbor classifiers

    Energy Technology Data Exchange (ETDEWEB)

    Porter, Reid B [Los Alamos National Laboratory; Hush, Don [Los Alamos National Laboratory; Zimmer, G. Beate [TEXAS A& M

    2011-01-03

    Stack Filters define a large class of discrete nonlinear filter first introd uced in image and signal processing for noise removal. In recent years we have suggested their application to classification problems, and investigated their relationship to other types of discrete classifiers such as Decision Trees. In this paper we focus on a continuous domain version of Stack Filter Classifiers which we call Ordered Hypothesis Machines (OHM), and investigate their relationship to Nearest Neighbor classifiers. We show that OHM classifiers provide a novel framework in which to train Nearest Neighbor type classifiers by minimizing empirical error based loss functions. We use the framework to investigate a new cost sensitive loss function that allows us to train a Nearest Neighbor type classifier for low false alarm rate applications. We report results on both synthetic data and real-world image data.

  6. Hand fracture - aftercare

    Science.gov (United States)

    ... this page: //medlineplus.gov/ency/patientinstructions/000552.htm Hand fracture - aftercare To use the sharing features on ... need to be repaired with surgery. Types of Hand Fractures Your fracture may be in one of ...

  7. Clean Hands Count

    Medline Plus

    Full Text Available ... Queue __count__/__total__ Find out why Close Clean Hands Count Centers for Disease Control and Prevention (CDC) ... intended to promote or encourage adherence to CDC hand hygiene recommendations. It is a component of the ...

  8. Hand and Finger Exercises

    Science.gov (United States)

    Hand and Finger Exercises  Place your palm flat on a table. Raise and lower your fingers one ... times for ____ seconds.  Pick up objects with your hand. Start out with larger objects. Repeat ____ times for ____ ...

  9. Clean Hands Count

    Medline Plus

    Full Text Available ... misperceptions about hand hygiene and empower patients to play a role in their care by asking or ... autoplay is enabled, a suggested video will automatically play next. Up next Wash your Hands - it just ...

  10. Clean Hands Count

    Medline Plus

    Full Text Available ... intended to promote or encourage adherence to CDC hand hygiene recommendations. It is a component of the Clean ... also aims to address myths and misperceptions about hand hygiene and empower patients to play a role in ...

  11. Hand Hygiene Saves Lives

    Medline Plus

    Full Text Available ... United States, patients get more than a million infections in the hospital while being treated for something else. The best way to help prevent infection is to practice proper hand hygiene. Hand Hygiene ...

  12. Clean Hands Count

    Medline Plus

    Full Text Available ... to CDC hand hygiene recommendations. It is a component of the Clean Hands Count campaign, which also ... views 3:56 Loading more suggestions... Show more Language: English Location: United States Restricted Mode: Off History ...

  13. Clean Hands Count

    Medline Plus

    Full Text Available ... to CDC hand hygiene recommendations. It is a component of the Clean Hands Count campaign, which also ... 3:56 Loading more suggestions... Show more Language: English Location: United States Restricted Mode: Off History Help ...

  14. Clean Hands Count

    Medline Plus

    Full Text Available ... LIVES - Clean Your Hands - No action today; no cure tomorrow - Duration: 3:10. World Health Organization 59, ... 328 views 1:53 Good Sam Hand Hygiene Music Video - Duration: 2:28. Good Samaritan Medical Center ...

  15. Hand Hygiene Saves Lives

    Medline Plus

    Full Text Available ... public health professionals. More > Hand Hygiene Saves Lives (5:10) Recommend on Facebook Tweet Share Compartir Hand ... High resolution [22.9 MB] Open Captioned [14.5 MB] Request a higher resolution file Copy the ...

  16. Hand Hygiene Saves Lives

    Medline Plus

    Full Text Available ... hospital while being treated for something else. The best way to help prevent infection is to practice proper hand hygiene. Hand Hygiene Saves Lives shows how patients can play an active role in reminding healthcare ...

  17. Hand Hygiene Saves Lives

    Medline Plus

    Full Text Available ... Please Parents Want To Do What′s Best The Obesity Epidemic Outbreaks CDC: Protecting Americans through Global Health ... best way to help prevent infection is to practice proper hand hygiene. Hand Hygiene Saves Lives shows ...

  18. Arthritis of the Hand

    Science.gov (United States)

    .org Arthritis of the Hand Page ( 1 ) The hand and wrist have multiple small joints that work together to ... a shoelace. When the joints are affected by arthritis, activities of daily living can be difficult. Arthritis ...

  19. Clean Hands Count

    Medline Plus

    Full Text Available ... next. Up next Wash your Hands - it just makes sense. - Duration: 1:36. Seema Marwaha 335,368 views 1:36 WHO: SAVE LIVES - Clean Your Hands - No action today; no cure tomorrow - ...

  20. Motion Analysis System for Instruction of Nihon Buyo using Motion Capture

    Science.gov (United States)

    Shinoda, Yukitaka; Murakami, Shingo; Watanabe, Yuta; Mito, Yuki; Watanuma, Reishi; Marumo, Mieko

    The passing on and preserving of advanced technical skills has become an important issue in a variety of fields, and motion analysis using motion capture has recently become popular in the research of advanced physical skills. This research aims to construct a system having a high on-site instructional effect on dancers learning Nihon Buyo, a traditional dance in Japan, and to classify Nihon Buyo dancing according to style, school, and dancer's proficiency by motion analysis. We have been able to study motion analysis systems for teaching Nihon Buyo now that body-motion data can be digitized and stored by motion capture systems using high-performance computers. Thus, with the aim of developing a user-friendly instruction-support system, we have constructed a motion analysis system that displays a dancer's time series of body motions and center of gravity for instructional purposes. In this paper, we outline this instructional motion analysis system based on three-dimensional position data obtained by motion capture. We also describe motion analysis that we performed based on center-of-gravity data obtained by this system and motion analysis focusing on school and age group using this system.

  1. Clean Hands Count

    Medline Plus

    Full Text Available ... Moments of Hand Hygiene - Duration: 1:53. Salem Health 11,700 views 1:53 Good Sam Hand Hygiene Music Video - Duration: 2:28. Good Samaritan Medical Center 2,398 views 2:28 Hand Hygiene Saves Lives - Duration: 5:12. ... 1:38 Hand Hygiene for Health Care Workers - Germ Smart - Duration: 5:45. Former ...

  2. Hand hygiene strategies

    OpenAIRE

    Yazaji, Eskandar Alex

    2011-01-01

    Hand hygiene is one of the major players in preventing healthcare associated infections. However, healthcare workers compliance with hand hygiene continues to be a challenge. This article will address strategies to help improving hand hygiene compliance. Keywords: hand hygiene; healthcare associated infections; multidisciplinary program; system change; accountability; education; feedback(Published: 18 July 2011)Citation: Journal of Community Hospital Internal Medicine Perspectives 2011, 1: 72...

  3. Hand osteoarthritis: Clinical and imaging study | Naguib | Alexandria ...

    African Journals Online (AJOL)

    Aim: To examine the validity of US in assessing hand osteoarthritis (OA) and to study the relationship between ultrasonographic findings and OA symptoms. Methods: This study was carried out on thirty patients with primary hand OA, and fifteen healthy subjects serving as a control group. Patients were classified according ...

  4. [Study on an Exoskeleton Hand Function Training Device].

    Science.gov (United States)

    Hu, Xin; Zhang, Ying; Li, Jicai; Yi, Jinhua; Yu, Hongliu; He, Rongrong

    2016-02-01

    Based on the structure and motion bionic principle of the normal adult fingers, biological characteristics of human hands were analyzed, and a wearable exoskeleton hand function training device for the rehabilitation of stroke patients or patients with hand trauma was designed. This device includes the exoskeleton mechanical structure and the electromyography (EMG) control system. With adjustable mechanism, the device was capable to fit different finger lengths, and by capturing the EMG of the users' contralateral limb, the motion state of the exoskeleton hand was controlled. Then driven by the device, the user's fingers conducting adduction/abduction rehabilitation training was carried out. Finally, the mechanical properties and training effect of the exoskeleton hand were verified through mechanism simulation and the experiments on the experimental prototype of the wearable exoskeleton hand function training device.

  5. Clean Hands Count

    Medline Plus

    Full Text Available ... Wash your Hands - it just makes sense. - Duration: 1:36. Seema Marwaha 353,242 views 1:36 Wash 'Em - Hand Hygiene Music Video - Duration: ... 3:10 Hand Washing Technique - WHO Approved - Duration: 1:19. AllYouWantTV 632,779 views 1:19 5 ...

  6. Hand x-ray

    Science.gov (United States)

    X-ray - hand ... A hand x-ray is taken in a hospital radiology department or your health care provider's office by an ... technician. You will be asked to place your hand on the x-ray table, and keep it ...

  7. Robotic hand and fingers

    Science.gov (United States)

    Salisbury, Curt Michael; Dullea, Kevin J.

    2017-06-06

    Technologies pertaining to a robotic hand are described herein. The robotic hand includes one or more fingers releasably attached to a robotic hand frame. The fingers can abduct and adduct as well as flex and tense. The fingers are releasably attached to the frame by magnets that allow for the fingers to detach from the frame when excess force is applied to the fingers.

  8. Guideline Implementation: Hand Hygiene.

    Science.gov (United States)

    Goldberg, Judith L

    2017-02-01

    Performing proper hand hygiene and surgical hand antisepsis is essential to reducing the rates of health care-associated infections, including surgical site infections. The updated AORN "Guideline for hand hygiene" provides guidance on hand hygiene and surgical hand antisepsis, the wearing of fingernail polish and artificial nails, proper skin care to prevent dermatitis, the wearing of jewelry, hand hygiene product selection, and quality assurance and performance improvement considerations. This article focuses on key points of the guideline to help perioperative personnel make informed decisions about hand hygiene and surgical hand antisepsis. The key points address the necessity of keeping fingernails and skin healthy, not wearing jewelry on the hands or wrists in the perioperative area, properly performing hand hygiene and surgical hand antisepsis, and involving patients and visitors in hand hygiene initiatives. Perioperative RNs should review the complete guideline for additional information and for guidance when writing and updating policies and procedures. Copyright © 2017 AORN, Inc. Published by Elsevier Inc. All rights reserved.

  9. Clean Hands Count

    Medline Plus

    Full Text Available ... 574 views 3:40 Proper Hand Washing For Nurses - Duration: 2:57. Kevin Gorin 221,991 views 2:57 A very serious message about hand hygiene in hospitals - Duration: 3:51. seriousaboutHAI 130,444 views 3:51 Hand Hygiene for Health Care Workers - Germ Smart - Duration: 5:45. Former Saskatoon ...

  10. Clean Hands Count

    Medline Plus

    Full Text Available ... today; no cure tomorrow - Duration: 3:10. World Health Organization 61,636 views 3:10 Hand Washing ... 51 5 videos Play all Hand washing 2018 health.services health.services Wash 'Em - Hand Hygiene Music ...

  11. Hand1 overexpression inhibits medulloblastoma metastasis

    Energy Technology Data Exchange (ETDEWEB)

    Asuthkar, Swapna; Guda, Maheedhara R. [Department of Cancer Biology and Pharmacology, University of Illinois College of Medicine at Peoria, Peoria, IL 61656 (United States); Martin, Sarah E. [Department of Pathology, University of Illinois College of Medicine at Peoria, Peoria, IL 61656 (United States); Antony, Reuben; Fernandez, Karen [Department of Pediatrics, University of Illinois College of Medicine at Peoria, Peoria, IL 61656 (United States); Lin, Julian [Department of Neurosurgery, University of Illinois College of Medicine at Peoria, Peoria, IL 61656 (United States); Tsung, Andrew J. [Department of Cancer Biology and Pharmacology, University of Illinois College of Medicine at Peoria, Peoria, IL 61656 (United States); Department of Neurosurgery, University of Illinois College of Medicine at Peoria, Peoria, IL 61656 (United States); Illinois Neurological Institute, Peoria, IL 61656 (United States); Velpula, Kiran K., E-mail: velpula@uic.edu [Department of Cancer Biology and Pharmacology, University of Illinois College of Medicine at Peoria, Peoria, IL 61656 (United States); Department of Neurosurgery, University of Illinois College of Medicine at Peoria, Peoria, IL 61656 (United States)

    2016-08-19

    Medulloblastoma (MB) is the most frequent malignant pediatric brain tumor. Current treatment includes surgery, radiation and chemotherapy. However, ongoing treatment in patients is further classified according to the presence or absence of metastasis. Since metastatic medulloblastoma are refractory to current treatments, there is need to identify novel biomarkers that could be used to reduce metastatic potential, and more importantly be targeted therapeutically. Previously, we showed that ionizing radiation-induced uPAR overexpression is associated with increased accumulation of β-catenin in the nucleus. We further demonstrated that uPAR protein act as cytoplasmic sequestration factor for a novel basic helix-loop-helix transcription factor, Hand1. Among the histological subtypes classical and desmoplastic subtypes account for the majority while large cell/anaplastic variant is most commonly associated with metastatic disease. In this present study using immunohistochemical approach and patient data mining for the first time, we demonstrated that Hand1 expression is observed to be downregulated in all the subtypes of medulloblastoma. Previously we showed that Hand1 overexpression regulated medulloblastoma angiogenesis and here we investigated the role of Hand1 in the context of Epithelial-Mesenchymal Transition (EMT). Moreover, UW228 and D283 cells overexpressing Hand1 demonstrated decreased-expression of mesenchymal markers (N-cadherin, β-catenin and SOX2); metastatic marker (SMA); and increased expression of epithelial marker (E-cadherin). Strikingly, human pluripotent stem cell antibody array showed that Hand1 overexpression resulted in substantial decrease in pluripotency markers (Nanog, Oct3/4, Otx2, Flk1) suggesting that Hand1 expression may be essential to attenuate the EMT and our findings underscore a novel role for Hand1 in medulloblastoma metastasis. - Highlights: • Hand1 expression is downregulated in Medulloblastoma. • Hand1 over expression reduce

  12. A novel design method of anthropomorphic prosthetic hands for reproducing human hand grasping.

    Science.gov (United States)

    Sun, Baiyang; Xiong, Caihua; Chen, Wenrui; Zhang, Qiaofei; Mao, Liu; Zhang, Qin

    2014-01-01

    Because hand is often used for grasping, developing a design of prosthetic hands, particularly light and compact underactuated anthropomorphic transradial prostheses for reproducing human hand complex grasping is crucial for upper-limb amputees. Obviously, the less the number of actuators is, the worse the anthropomorphic motion capability of the prosthetic hands will be. This paper aims to design a transmission mechanism with few motors actuating fingers which could serve the relatively accurate grasp movement of a human hand and has the potential to be embedded in a palm including the motors. We start with establishing an index for evaluating the anthropomorphic motion capability of a prosthetic hand. Based on the optimization of this index, we determine the number of actuators in fingers and the transmission relationship between the actuators and the metacarpophalangeal(MCP) joints. Then, a new design method to mechanically implement the transmission relationship based on a novel decomposition of transmission matrix is proposed in this paper. Utilizing this method, we obtained the final mechanical structure of a new prosthetic hand.

  13. Auditory motion capturing ambiguous visual motion

    Directory of Open Access Journals (Sweden)

    Arjen eAlink

    2012-01-01

    Full Text Available In this study, it is demonstrated that moving sounds have an effect on the direction in which one sees visual stimuli move. During the main experiment sounds were presented consecutively at four speaker locations inducing left- or rightwards auditory apparent motion. On the path of auditory apparent motion, visual apparent motion stimuli were presented with a high degree of directional ambiguity. The main outcome of this experiment is that our participants perceived visual apparent motion stimuli that were ambiguous (equally likely to be perceived as moving left- or rightwards more often as moving in the same direction than in the opposite direction of auditory apparent motion. During the control experiment we replicated this finding and found no effect of sound motion direction on eye movements. This indicates that auditory motion can capture our visual motion percept when visual motion direction is insufficiently determinate without affecting eye movements.

  14. A fuzzy classifier system for process control

    Science.gov (United States)

    Karr, C. L.; Phillips, J. C.

    1994-01-01

    A fuzzy classifier system that discovers rules for controlling a mathematical model of a pH titration system was developed by researchers at the U.S. Bureau of Mines (USBM). Fuzzy classifier systems successfully combine the strengths of learning classifier systems and fuzzy logic controllers. Learning classifier systems resemble familiar production rule-based systems, but they represent their IF-THEN rules by strings of characters rather than in the traditional linguistic terms. Fuzzy logic is a tool that allows for the incorporation of abstract concepts into rule based-systems, thereby allowing the rules to resemble the familiar 'rules-of-thumb' commonly used by humans when solving difficult process control and reasoning problems. Like learning classifier systems, fuzzy classifier systems employ a genetic algorithm to explore and sample new rules for manipulating the problem environment. Like fuzzy logic controllers, fuzzy classifier systems encapsulate knowledge in the form of production rules. The results presented in this paper demonstrate the ability of fuzzy classifier systems to generate a fuzzy logic-based process control system.

  15. Hierarchical mixtures of naive Bayes classifiers

    NARCIS (Netherlands)

    Wiering, M.A.

    2002-01-01

    Naive Bayes classifiers tend to perform very well on a large number of problem domains, although their representation power is quite limited compared to more sophisticated machine learning algorithms. In this pa- per we study combining multiple naive Bayes classifiers by using the hierar- chical

  16. [Integration of Injured Hands].

    Science.gov (United States)

    Winkel, Reiner

    2017-02-01

    Any injury of a hand more or less disintegrates the injured hand. The rehabilitation of an alienated hand is prolonged. How can the alienation of the own but injured hand and the involuntary and unconscious inhibition of its perception and use be diagnosed, explained, avoided and designated? Medical observations and interviews with patients and therapists on the occasion of rehabilitation of hand injuries resulted in the development of a new concept of biopsychosocial integrating rehabilitation and a creative hand therapy with the objective of integrating injured and alienated hands. The inhibition of the gesture of thinking has been the most revealing sign for the diagnosis of a disintegration of an injured hand. Explanation: The involuntary inhibition to recognize and use an injured hand causes and implicates the alienation of the rested hand. Information by hand surgeons and hand therapists. Creative hand therapy guides the attention to complex and pleasing activities. In complex disintegrations after hand injuries the hand as well as the person need help. Designation: Hypotheses: Posttraumatic Proportionate Regional Disintegration while the tissues heal. Posttraumatic Complex Regional Disintegration, if the disintegration overruns the healing of tissues or if the person suffers. The Complex Regional Pain Syndrome is distinguished as a rare exception of a biopsychosocial disintegration. Posttraumatic regional disintegration seems to be proportionate while the tissues are healing. If the mentioned sensations of the patients and the visible signs of disintegration persist, the disorder spreads onto the biopsychosocial unit of the person. This disorder of hand and person may be designated as a complex disorder. The impact of a proportionate posttraumatic disintegration as well as the formation and exacerbation of a complex posttraumatic disintegration may be prevented by the facilitation of the integration of an injured hand. Scientific prove is needed for: the

  17. Deconvolution When Classifying Noisy Data Involving Transformations

    KAUST Repository

    Carroll, Raymond

    2012-09-01

    In the present study, we consider the problem of classifying spatial data distorted by a linear transformation or convolution and contaminated by additive random noise. In this setting, we show that classifier performance can be improved if we carefully invert the data before the classifier is applied. However, the inverse transformation is not constructed so as to recover the original signal, and in fact, we show that taking the latter approach is generally inadvisable. We introduce a fully data-driven procedure based on cross-validation, and use several classifiers to illustrate numerical properties of our approach. Theoretical arguments are given in support of our claims. Our procedure is applied to data generated by light detection and ranging (Lidar) technology, where we improve on earlier approaches to classifying aerosols. This article has supplementary materials online.

  18. Application of Hand Motion Capture System for Piano Education

    National Research Council Canada - National Science Library

    水戸部, 一孝; 鈴木, 雅史; 吉村, 昇

    2011-01-01

    It is important to measure the dexterous finger movements for piano education. But there are some problems to measure accurately of finger movements with angular position due to the complex finger bones construction...

  19. TREATMENT OF FRACTURES TO THE HAND

    Directory of Open Access Journals (Sweden)

    Valentina Colombo

    2012-03-01

    Full Text Available The aim of this article is to discuss the treatment of fractures to the hand given the importance of this organ in terms of functional anatomy. After classifying the various types of fractures, surgery and rehabilitation options for all types are discussed. Particular emphasis is placed on therapy for the most frequently seen lesions such as fractures to the scaphoid, the fifth metacarpal and the base of the first metacarpal. The importance of the use of prophylaxis against stiffness and treatment for oedema, which are commonly seen in fractures to the hand, is also highlighted.

  20. Motion control report

    CERN Document Server

    2013-01-01

    Please note this is a short discount publication. In today's manufacturing environment, Motion Control plays a major role in virtually every project.The Motion Control Report provides a comprehensive overview of the technology of Motion Control:* Design Considerations* Technologies* Methods to Control Motion* Examples of Motion Control in Systems* A Detailed Vendors List

  1. Logarithmic learning for generalized classifier neural network.

    Science.gov (United States)

    Ozyildirim, Buse Melis; Avci, Mutlu

    2014-12-01

    Generalized classifier neural network is introduced as an efficient classifier among the others. Unless the initial smoothing parameter value is close to the optimal one, generalized classifier neural network suffers from convergence problem and requires quite a long time to converge. In this work, to overcome this problem, a logarithmic learning approach is proposed. The proposed method uses logarithmic cost function instead of squared error. Minimization of this cost function reduces the number of iterations used for reaching the minima. The proposed method is tested on 15 different data sets and performance of logarithmic learning generalized classifier neural network is compared with that of standard one. Thanks to operation range of radial basis function included by generalized classifier neural network, proposed logarithmic approach and its derivative has continuous values. This makes it possible to adopt the advantage of logarithmic fast convergence by the proposed learning method. Due to fast convergence ability of logarithmic cost function, training time is maximally decreased to 99.2%. In addition to decrease in training time, classification performance may also be improved till 60%. According to the test results, while the proposed method provides a solution for time requirement problem of generalized classifier neural network, it may also improve the classification accuracy. The proposed method can be considered as an efficient way for reducing the time requirement problem of generalized classifier neural network. Copyright © 2014 Elsevier Ltd. All rights reserved.

  2. The Avocado Hand

    LENUS (Irish Health Repository)

    Rahmani, G

    2017-11-01

    Accidental self-inflicted knife injuries to digits are a common cause of tendon and nerve injury requiring hand surgery. There has been an apparent increase in avocado related hand injuries. Classically, the patients hold the avocado in their non-dominant hand while using a knife to cut\\/peel the fruit with their dominant hand. The mechanism of injury is usually a stabbing injury to the non-dominant hand as the knife slips past the stone, through the soft avocado fruit. Despite their apparent increased incidence, we could not find any cases in the literature which describe the “avocado hand”. We present a case of a 32-year-old woman who sustained a significant hand injury while preparing an avocado. She required exploration and repair of a digital nerve under regional anaesthesia and has since made a full recovery.

  3. Counting, Measuring And The Semantics Of Classifiers

    Directory of Open Access Journals (Sweden)

    Susan Rothstein

    2010-12-01

    Full Text Available This paper makes two central claims. The first is that there is an intimate and non-trivial relation between the mass/count distinction on the one hand and the measure/individuation distinction on the other: a (if not the defining property of mass nouns is that they denote sets of entities which can be measured, while count nouns denote sets of entities which can be counted. Crucially, this is a difference in grammatical perspective and not in ontological status. The second claim is that the mass/count distinction between two types of nominals has its direct correlate at the level of classifier phrases: classifier phrases like two bottles of wine are ambiguous between a counting, or individuating, reading and a measure reading. On the counting reading, this phrase has count semantics, on the measure reading it has mass semantics.ReferencesBorer, H. 1999. ‘Deconstructing the construct’. In K. Johnson & I. Roberts (eds. ‘Beyond Principles and Parameters’, 43–89. Dordrecht: Kluwer publications.Borer, H. 2008. ‘Compounds: the view from Hebrew’. In R. Lieber & P. Stekauer (eds. ‘The Oxford Handbook of Compounds’, 491–511. Oxford: Oxford University Press.Carlson, G. 1977b. Reference to Kinds in English. Ph.D. thesis, University of Massachusetts at Amherst.Carlson, G. 1997. Quantifiers and Selection. Ph.D. thesis, University of Leiden.Carslon, G. 1977a. ‘Amount relatives’. Language 53: 520–542.Chierchia, G. 2008. ‘Plurality of mass nouns and the notion of ‘semantic parameter”. In S. Rothstein (ed. ‘Events and Grammar’, 53–103. Dordrecht: Kluwer.Danon, G. 2008. ‘Definiteness spreading in the Hebrew construct state’. Lingua 118: 872–906.http://dx.doi.org/10.1016/j.lingua.2007.05.012Gillon, B. 1992. ‘Toward a common semantics for English count and mass nouns’. Linguistics and Philosophy 15: 597–640.http://dx.doi.org/10.1007/BF00628112Grosu, A. & Landman, F. 1998. ‘Strange relatives of the third kind

  4. Implants in the hand; Implantate der Hand

    Energy Technology Data Exchange (ETDEWEB)

    Wanivenhaus, A. [Medizinische Universitaet, Universitaetsklinik fuer Orthopaedie, Wien (Austria)

    2006-09-15

    Increasingly, implants in the region of hand joints and the wrist represent an alternative for the treatment of post-traumatic, inflamed, or degenerative joint damage. The diversity of hand functions also results in varied solutions, which are effective in their stability, mobility, and distraction. Different materials are necessary for this, and they require subtile radiological control. The native X-ray represents the substantial method to observe migration of the implants. Each interface between titanium, ceramic, zirconium, pyrocarbon, and silicon to the bone has to be assessed differently in order to obtain a relevant statement. The finger joints and to a limited extent the wrist represent the artificial joints with limited alternative therapy. Other implants in the hand should only be applied after strict indication and patient compliance, as arthrodesis and resection arthroplasty have shown very good long-term results. (orig.) [German] Implantate im Bereich der Gelenke der Hand und des Handgelenks stellen zunehmend Alternativen bei der Versorgung posttraumatischer, entzuendlicher oder degenerativer Gelenkschaeden dar. Die Vielfalt der Handfunktionen fuehrt auch zu unterschiedlichen Loesungen, die durch Stabilitaet, Mobilitaet und Distraktion wirksam werden. Dafuer sind unterschiedliche Materialien erforderlich, die eine subtile radiologische Kontrolle erfordern. Das Nativroentgen stellt das wesentlichste Verfahren zur Verlaufsbeobachtung von Implantaten dar. Das Interface zwischen Titan, Keramik, Zirkonium, Pyrokarbon und Silikon zum Knochen muss unterschiedlich bewertet werden, um relevante Aussagen treffen zu koennen. Die Fingergelenke und in begrenztem Ausmass auch das Handgelenk stellen Kunstgelenke mit geringen Alternativtherapiemoeglichkeiten dar. Die uebrigen Implantate der Hand sollten nur bei strenger Indikationsstellung und hoher Patientencompliance Anwendung finden, da Arthrodese oder Resektionsarthroplastik gute Langzeitresultate aufweisen. (orig.)

  5. A CLASSIFIER SYSTEM USING SMOOTH GRAPH COLORING

    Directory of Open Access Journals (Sweden)

    JORGE FLORES CRUZ

    2017-01-01

    Full Text Available Unsupervised classifiers allow clustering methods with less or no human intervention. Therefore it is desirable to group the set of items with less data processing. This paper proposes an unsupervised classifier system using the model of soft graph coloring. This method was tested with some classic instances in the literature and the results obtained were compared with classifications made with human intervention, yielding as good or better results than supervised classifiers, sometimes providing alternative classifications that considers additional information that humans did not considered.

  6. Dextrous robot hands

    Science.gov (United States)

    Venkataraman, Subramanian T. (Editor); Iberall, Thea (Editor)

    1990-01-01

    Recent studies of human hand function and their implications for the design of robot hands are discussed in reviews and reports. Topics addressed include human grasp choice and robotic grasp analysis, opposition space and human prehension, coordination in normal and prosthetic reaching, and intelligent exploration by the human hand. Consideration is given to a task-oriented dextrous manipulation architecture, the control architecture for the Belgrade/USC hand, the analysis of multifingered grasping and manipulation, and tactile sensing for shape interpretation. Diagrams, graphs, and photographs are provided.

  7. Osteomyelitis of the hand.

    Science.gov (United States)

    Pinder, R; Barlow, G

    2016-05-01

    Osteomyelitis of the hand is uncommon, but if not adequately and promptly treated the detrimental effects on hand function can be devastating. The majority of literature on osteomyelitis relates to the lower limb, but the principles of management are applicable to the hand, with good surgical debridement and culture-guided antimicrobial therapy. For osteomyelitis in general, antibiotic therapy of 4-6 weeks' duration (intravenous and/or oral) is typically recommended. In the hand, length and mode of antibiotic administration are still under study. V. © The Author(s) 2015.

  8. Dizziness and Motion Sickness

    Science.gov (United States)

    ... Find an ENT Doctor Near You Dizziness and Motion Sickness Dizziness and Motion Sickness Patient Health Information ... other respiratory infections If you are subject to motion sickness: •Do not read while traveling •Avoid sitting ...

  9. Kinematic Structures Description of Bionic Hand Based on VF Set

    Science.gov (United States)

    Liu, Xiancan; Bai, Pengying; Luo, Min; Gao, Meng; Zhan, Qiang

    2017-03-01

    This paper presents a method for describing kinematic structure of bionic hand based on VF (virtual finger) set. At first, a 20 DOFs (degrees of freedom) human hand kinematic model is built, which is expressed by five fingers’ kinematic chains consisting of kinematic pairs and symbols that represent geometric relationships of kinematic pairs’ axes. Based on the concept of VF, the hand fingers are divided into two types: VFAA having adduction/abduction motion and VFFE having flexion/extension motion. The concept of VF set comprising VFAAs and VFFEs is defined, human hand and six basic grasp postures are described by VF set. Then, the structures corresponding VFAA and VFFE are given according to active and passive forms of finger joints, and VFFE Structure-Base comprising 20 conventional structures is built. Based on VF set and the structures of VFAA and VFFE, VF sets and kinematic structures of several classic bionic hands are given.

  10. Posterior Parietal Cortex Encoding of Dynamic Hand Force Underlying Hand-Object Interaction.

    Science.gov (United States)

    Ferrari-Toniolo, Simone; Visco-Comandini, Federica; Papazachariadis, Odysseas; Caminiti, Roberto; Battaglia-Mayer, Alexandra

    2015-08-05

    Major achievements of primate evolution are skilled hand-object interaction and tool use, both in part dependent on parietal cortex expansion. We recorded spiking activity from macaque inferior parietal cortex during directional manipulation of an isometric tool, which required the application of hand forces to control a cursor's motion on a screen. In areas PFG/PF, the activity of ∼ 70% neurons was modulated by the hand force necessary to implement the desired target motion, reflecting an inverse model, rather than by the intended motion of the visual cursor (forward model). The population vector matched the direction and amplitude of the instantaneous force increments over time. When exposed to a new force condition, that obliged the monkey to change the force output to successfully bring the cursor to the final target, the activity of a consistent subpopulation of neurons changed in an orderly fashion and, at the end of a "Wash-out" session, retained memory of the new learned association, at the service of predictive control of force. Our findings suggest that areas PFG/PF represent a crucial node of the distributed control of hand force, by encoding instantaneous force variations and serving as a memory reservoir of hand dynamics required for object manipulation and tool use. This is coherent with previous studies in humans showing the following: (1) impaired adaptation to a new force field under TMS parietal perturbation; (2) defective control of direction of hand force after parietal lesion; and (3) fMRI activation of parietal cortex during object manipulation requiring control of fine hand forces. Skilled object manipulation and tool use are major achievements of primate evolution, both largely dependent on posterior parietal cortex (PPC) expansion. Neurophysiological and fMRI studies in macaque and humans had documented a crucial role of PPC in encoding the hand kinematics underlying these functions, leaving to premotor and motor areas the role of

  11. Classifying the conflict: a soldier's dilemma

    National Research Council Canada - National Science Library

    Carswell, Andrew J

    2009-01-01

    .... Classifying these various scenarios to determine the applicable international law is rendered difficult by both the lack of clarity inherent in the law and the political factors that tend to enter...

  12. Classifiers based on optimal decision rules

    KAUST Repository

    Amin, Talha

    2013-11-25

    Based on dynamic programming approach we design algorithms for sequential optimization of exact and approximate decision rules relative to the length and coverage [3, 4]. In this paper, we use optimal rules to construct classifiers, and study two questions: (i) which rules are better from the point of view of classification-exact or approximate; and (ii) which order of optimization gives better results of classifier work: length, length+coverage, coverage, or coverage+length. Experimental results show that, on average, classifiers based on exact rules are better than classifiers based on approximate rules, and sequential optimization (length+coverage or coverage+length) is better than the ordinary optimization (length or coverage).

  13. Combining multiple classifiers for age classification

    CSIR Research Space (South Africa)

    Van Heerden, C

    2009-11-01

    Full Text Available The authors compare several different classifier combination methods on a single task, namely speaker age classification. This task is well suited to combination strategies, since significantly different feature classes are employed. Support vector...

  14. The Dynamic Model Embed in Augmented Graph Cuts for Robust Hand Tracking and Segmentation in Videos

    Directory of Open Access Journals (Sweden)

    Jun Wan

    2014-01-01

    Full Text Available Segmenting human hand is important in computer vision applications, for example, sign language interpretation, human computer interaction, and gesture recognition. However, some serious bottlenecks still exist in hand localization systems such as fast hand motion capture, hand over face, and hand occlusions on which we focus in this paper. We present a novel method for hand tracking and segmentation based on augmented graph cuts and dynamic model. First, an effective dynamic model for state estimation is generated, which correctly predicts the location of hands probably having fast motion or shape deformations. Second, new energy terms are brought into the energy function to develop augmented graph cuts based on some cues, namely, spatial information, hand motion, and chamfer distance. The proposed method successfully achieves hand segmentation even though the hand passes over other skin-colored objects. Some challenging videos are provided in the case of hand over face, hand occlusions, dynamic background, and fast motion. Experimental results demonstrate that the proposed method is much more accurate than other graph cuts-based methods for hand tracking and segmentation.

  15. Quality Classifiers for Open Source Software Repositories

    OpenAIRE

    Tsatsaronis, George; Halkidi, Maria; Giakoumakis, Emmanouel A.

    2009-01-01

    Open Source Software (OSS) often relies on large repositories, like SourceForge, for initial incubation. The OSS repositories offer a large variety of meta-data providing interesting information about projects and their success. In this paper we propose a data mining approach for training classifiers on the OSS meta-data provided by such data repositories. The classifiers learn to predict the successful continuation of an OSS project. The `successfulness' of projects is defined in terms of th...

  16. [Hand surgery training].

    Science.gov (United States)

    Moutet, F; Haloua, J P

    2003-10-01

    Training of the hand surgeon HAND SURGEON A CONCEPT: The hand surgeon is supposed to be in charge of all the hand lesions regarding, skeleton, muscles, tendons, nerves and vessels. He has to be able to insure reparation and coverage of all of them. So he is involved in all the structures, which insure integrity and function of the hand. PURPOSE AND WAYS OF TRAINING: To obtain the asked ability, the hand surgeon training has to be global and sustained by two underlying surgical specialities: orthopedic surgery and plastic and reconstructive surgery. From 2000 after many years of dealings, a Right to the Title in Hand Surgery was born. This Right to the Title wants to be the formal recognition of the specific training of the hand surgeon. For the well-recognized ancient hand surgeons they need to be confirmed by one's peers. Now a day the hand surgeon has to satisfy to this specific training: Passed the complete training and exam of the Orthopedic or Plastic surgery board. Spent at least 6 months as resident in the other underlying specialty. Passed a microsurgery examination. Passed one of the four national Hand Surgery diplomas (DIU/Inter-Universitary Diploma). The examinations have been harmonized. A common formation is delivered regarding hand surgery, the way of examination is the same and the formation is 2 years long. The final exam is presented in front of board of examiners where a teacher of one of the other three national diplomas is present. Spent at least 2 years in a formative hand surgery unit, listed by the French College of Hand Surgeons, as senior surgeon. Those requirements are heavy to assume and need a heavy personal involvement. That seems to be necessary to have an ability level as high as possible. Emergency surgery practice is absolutely necessary in this training. All the 17 university formative hand surgery units listed by the French College of Hand Surgeons are members of the FESUM (European Federation of the Emergency Hand Units

  17. Comparative analysis of the dynamic characteristics of the "standard" movement hands qualified athletes who specialize in synchronized swimming

    Directory of Open Access Journals (Sweden)

    Gordeeva M.V.

    2012-02-01

    Full Text Available A purpose of work is a comparative analysis of dynamic descriptions of different types of «standard» motion hands. In theory grounded and possibility of realization of «standard» motion hands of two kinds is practically confirmed. Information of dynamic descriptions enable construction of comparative biotkinematics model of two types of «standard» motion hands and their efficiency. The most essential indexes of motion hands are selected. It is set that on the orientation of brush advancement of sportswoman depends in any of directions. It is not exposed distinctions in the phase of distant capture between the indexes of force of resistance.

  18. Clean Hands Count

    Medline Plus

    Full Text Available ... AllYouWantTV 616,527 views 1:19 WHO: SAVE LIVES - Clean Your Hands - No action today; no cure ... 10,684 views 1:53 Clean hands save lives - Duration: 0:59. NIHClinicalCenter 2,298 views 0: ...

  19. Hand measuring eqipment

    DEFF Research Database (Denmark)

    De Chiffre, Leonardo

    This note is used in connection with a 3 x 2 hours laboratory exercise as a part of the course GEOMETRICAL METROLOGY AND MACHINE TESTING. The laboratory includes a demonstration of a series of hand measuring tools as well as a number of exercises, illustrating the use of hand measuring equipment...

  20. HAND INJURIES IN VOLLEYBALL

    NARCIS (Netherlands)

    BHAIRO, NH; NIJSTEN, MWN; VANDALEN, KC; TENDUIS, HJ

    We studied the long-term sequelae of hand injuries as a result of playing volleyball. In a retrospective study, 226 patients with injuries of the hand who were seen over a 5-year period at our Trauma Department, were investigated. Females accounted for 66 % of all injuries. The mean age was 26

  1. Clean Hands Count

    Medline Plus

    Full Text Available ... University & Jefferson Health 402,107 views 5:46 Germ Smart - Wash Your Hands! - Duration: 4:50. Former ... 1:53 Hand Hygiene for Health Care Workers - Germ Smart - Duration: 5:45. Former Saskatoon Health Region ...

  2. Hand Hygiene Saves Lives

    Medline Plus

    Full Text Available ... than a million infections in the hospital while being treated for something else. The best way to help prevent infection is to practice proper hand hygiene. Hand Hygiene Saves Lives shows how patients can play an active role ...

  3. Clean Hands Count

    Medline Plus

    Full Text Available ... 041 views 3:51 Wash 'Em - Hand Hygiene Music Video - Duration: 5:46. Thomas Jefferson University & Jefferson ... 851 views 5:12 Good Sam Hand Hygiene Music Video - Duration: 2:28. Good Samaritan Medical Center ...

  4. Clean Hands Count

    Medline Plus

    Full Text Available ... 257 views 3:10 Wash 'Em - Hand Hygiene Music Video - Duration: 5:46. Thomas Jefferson University & Jefferson ... 039 views 3:38 Good Sam Hand Hygiene Music Video - Duration: 2:28. Good Samaritan Medical Center ...

  5. Clean Hands Count

    Medline Plus

    Full Text Available ... Wash your Hands - it just makes sense. - Duration: 1:36. Seema Marwaha 340,286 views 1:36 Hand Washing Technique - WHO Approved - Duration: 1:19. AllYouWantTV 624,593 views 1:19 WHO: ...

  6. Clean Hands Count

    Medline Plus

    Full Text Available ... is a component of the Clean Hands Count campaign, which also aims to address myths and misperceptions ... views 3:56 Creative Communication - LifeBouy Hand Washing Campaign - Duration: 2:08. LIQVD ASIA 15,338 views ...

  7. Clean Hands Count

    Medline Plus

    Full Text Available ... health.services health.services Wash 'Em - Hand Hygiene Music Video - Duration: 5:46. Thomas Jefferson University & Jefferson ... 700 views 1:53 Good Sam Hand Hygiene Music Video - Duration: 2:28. Good Samaritan Medical Center ...

  8. Tropical Diabetic Hand Syndrome

    African Journals Online (AJOL)

    Any adult with DM in the tropics with hand cellulitis, infection and gangrene qualifies for TDHS.[1-4] It is a terminology used to describe a specific acute symptom complex found in diabetic patients in the tropics usually follows minor trauma to the hand and associated with progressive synergistic form of gangrene.

  9. Clean Hands Count

    Medline Plus

    Full Text Available ... today; no cure tomorrow - Duration: 3:10. World Health Organization 56,897 views 3:10 Handwashing Gangnam ... Moments of Hand Hygiene - Duration: 1:53. Salem Health 10,662 views 1:53 Clean hands save ...

  10. Clean Hands Count

    Medline Plus

    Full Text Available ... no cure tomorrow - Duration: 3:10. World Health Organization 60,515 views 3:10 Hand Washing Technique - ... soap and water - Duration: 1:27. World Health Organization 155,252 views 1:27 Good Sam Hand ...

  11. Clean Hands Count

    Science.gov (United States)

    ... 05 Hand Hygiene for Health Care Workers - Germ Smart - Duration: 5:45. Former Saskatoon Health Region 71,984 views 5:45 WHO: How to handwash? With soap and water - Duration: 1:27. World Health Organization 155,252 views 1:27 Good Sam Hand ...

  12. Clean Hands Count

    Medline Plus

    Full Text Available ... 05 Hand Hygiene for Health Care Workers - Germ Smart - Duration: 5:45. Former Saskatoon Health Region 71,984 views 5:45 WHO: How to handwash? With soap and water - Duration: 1:27. World Health Organization 155,252 views 1:27 Good Sam Hand ...

  13. Clean Hands Count

    Medline Plus

    Full Text Available ... hand hygiene and empower patients to play a role in their care by asking or reminding healthcare ... World Health Organization 48,051 views 1:19 Role play done by Oman AlKhair Hospital on Hand ...

  14. Clean Hands Count

    Medline Plus

    Full Text Available ... 002 views 3:51 Wash 'Em - Hand Hygiene Music Video - Duration: 5:46. Thomas Jefferson University & Jefferson ... 269 views 1:38 Good Sam Hand Hygiene Music Video - Duration: 2:28. Good Samaritan Medical Center ...

  15. Clean Hands Count

    Medline Plus

    Full Text Available ... Up next Wash your Hands - it just makes sense. - Duration: 1:36. Seema Marwaha 335,368 views ... Kevin Gorin 217,022 views 2:57 The 5 Moments of Hand Hygiene - Duration: 1:53. Salem ...

  16. Clean Hands Count

    Medline Plus

    Full Text Available ... no cure tomorrow - Duration: 3:10. World Health Organization 61,636 views 3:10 Hand Washing Technique - ... soap and water - Duration: 1:27. World Health Organization 167,916 views 1:27 Proper Hand Washing ...

  17. The split hand sign

    Directory of Open Access Journals (Sweden)

    Rajesh Benny

    2012-01-01

    Full Text Available Amyotrophic Lateral sclerosis (ALS is a disease characterized by pure motor asymmetric wasting of various muscles with associated upper motor neuron signs. The split hand sign, which is because of dissociated muscle weakness in the hands (thenar muscles disproportionately wasted as compared to the hypothenar muscles is a useful clinical sign for bed side diagnosis of ALS.

  18. Hand Hygiene Saves Lives

    Medline Plus

    Full Text Available ... CDC A-Z SEARCH A B C D E F G H I J K L M ... d’Opération d’Urgence (COU) Portuguese Vacine-se e proteja-se contra o sarampo Somali Halagu Tallaalo ... Hand Hygiene Clean Hands Basics Send Us Feedback What do you think of our videos? Your feedback ...

  19. Clean Hands Count

    Medline Plus

    Full Text Available ... Marwaha 355,166 views 1:36 Hand Washing Technique - WHO Approved - Duration: 1:19. AllYouWantTV 633,052 ... 54,858 views 1:19 NHS Hand Wash Technique - Duration: 1:17. Onclick - Bespoke Digital Learning 9, ...

  20. Clean Hands Count

    Medline Plus

    Full Text Available ... today; no cure tomorrow - Duration: 3:10. World Health Organization 57,621 views 3:10 Healthcare Worker ... Moments of Hand Hygiene - Duration: 1:53. Salem Health 10,684 views 1:53 Hand Washing Video ...

  1. Pneumatically actuated hand tool

    NARCIS (Netherlands)

    Cool, J.C.; Rijnsaardt, K.A.

    1996-01-01

    Abstract of NL 9401195 (A) Pneumatically actuated hand tool for carrying out a mechanical operation, provided with an exchangeable gas cartridge in which the gas which is required for pneumatic actuation is stored. More particularly, the hand tool is provided with at least one pneumatic motor, at

  2. Avoiding unfavorable results in postburn contracture hand

    Directory of Open Access Journals (Sweden)

    Sameek Bhattacharya

    2013-01-01

    Full Text Available Deformities of the hands are a fairly common sequel of burn especially in the developing world. This is because of high incidence of burns, limited access to standard treatment and rehabilitation. The best outcome of a burnt hand is when deformities are prevented from developing. A good functional result is possible when due consideration is paid to hands during resuscitation, excisional surgery, reconstructive surgery and physiotherapy. The post-burns deformities of hand develop due direct thermal damage or secondary to intrinsic minus position due to oedema or vascular insufficiency. During the acute phase the concerns are, maintenance circulation minimize oedema prevent unphysiological positioning and wound closure with autogenous tissue as soon as possible. The rehabilitation program during the acute phase starts from day one and goes on till the hand has healed and has regained full range of motion. Full blown hand contractures are challenging to correct and become more difficult as time passes. Long-standing cases often land up with attenuation of extensor apparatus leading to swan neck and boutonniere deformity, muscle shortening and bony ankylosis. The major and most common pitfall after contracture release is relapse. The treatment protocol of contracture is solely directed towards countering this tendency. This article aims to guide a surgeon in obtaining optimal hand function and avoid pit falls at different stages of management of hand burns. The reasons of an unfavourable outcome of a burnt hand are possible lack of optimal care in the acute phase, while planning and performing reconstructive procedure and during aftercare and rehabilitation.

  3. Avoiding unfavorable results in postburn contracture hand

    Science.gov (United States)

    Bhattacharya, Sameek

    2013-01-01

    Deformities of the hands are a fairly common sequel of burn especially in the developing world. This is because of high incidence of burns, limited access to standard treatment and rehabilitation. The best outcome of a burnt hand is when deformities are prevented from developing. A good functional result is possible when due consideration is paid to hands during resuscitation, excisional surgery, reconstructive surgery and physiotherapy. The post-burns deformities of hand develop due direct thermal damage or secondary to intrinsic minus position due to oedema or vascular insufficiency. During the acute phase the concerns are, maintenance circulation minimize oedema prevent unphysiological positioning and wound closure with autogenous tissue as soon as possible. The rehabilitation program during the acute phase starts from day one and goes on till the hand has healed and has regained full range of motion. Full blown hand contractures are challenging to correct and become more difficult as time passes. Long-standing cases often land up with attenuation of extensor apparatus leading to swan neck and boutonniere deformity, muscle shortening and bony ankylosis. The major and most common pitfall after contracture release is relapse. The treatment protocol of contracture is solely directed towards countering this tendency. This article aims to guide a surgeon in obtaining optimal hand function and avoid pit falls at different stages of management of hand burns. The reasons of an unfavourable outcome of a burnt hand are possible lack of optimal care in the acute phase, while planning and performing reconstructive procedure and during aftercare and rehabilitation. PMID:24501479

  4. Postoperative hand therapy in Dupuytren's disease.

    Science.gov (United States)

    Herweijer, Hester; Dijkstra, Pieter U; Nicolai, Jean-Philippe A; Van der Sluis, Corry K

    2007-11-30

    Postoperative hand therapy in patients after surgery for Dupuytren's contracture is common medical practice to improve outcomes. Until now, patients are referred for postoperative hand rehabilitation on an empirical basis. To evaluate whether referral criteria after surgery because of Dupuytren's disease were actually adhered to, and, to analyse differences in outcomes between patients who were referred according to the criteria (correctly referred) and those who were not referred but should have been (incorrectly not referred). Referral pattern was evaluated prospectively in 46 patients. Total active/passive range of joint motion (TAM/ TPM), sensibility, pinch force, Disability Arm Shoulder Hand questionnaire (DASH) and Michigan Hand outcomes Questionnaire (MHQ) were used as outcome measures preoperatively and 10 months postoperatively. In total 21 patients were referred correctly and 17 patients were incorrectly not referred. Significant improvements on TAM/TPM, DASH and MHQ were found at follow-up for the total group. No differences in outcomes were found between patients correctly referred and patients incorrectly not referred for postoperative hand therapy. Referral criteria were not adhered to. Given the lack of differences in outcomes between patients correctly referred and patients incorrectly not referred, postoperative hand therapy in Dupuytren's disease should be reconsidered.

  5. Somatic Practices: How Motion Analysis and Mind Images Work Hand in Hand in Dance

    OpenAIRE

    Whatley, Sarah

    2017-01-01

    Somatic Practices are body-based movement practices that foreground self-awareness and a first person experience of moving. Increasingly, somatic practices are informing how dance is taught, created, and performed with many dancers turning towards somatics to ensure a healthy and holistic approach to dance. Several somatic practices draw on imagery as a source for moving, for stimulating a more sensorial engagement with movement and to encourage a sense of moving “naturally” and with respect ...

  6. Hand Gesture Recognition Using Ultrasonic Waves

    KAUST Repository

    AlSharif, Mohammed Hussain

    2016-04-01

    Gesturing is a natural way of communication between people and is used in our everyday conversations. Hand gesture recognition systems are used in many applications in a wide variety of fields, such as mobile phone applications, smart TVs, video gaming, etc. With the advances in human-computer interaction technology, gesture recognition is becoming an active research area. There are two types of devices to detect gestures; contact based devices and contactless devices. Using ultrasonic waves for determining gestures is one of the ways that is employed in contactless devices. Hand gesture recognition utilizing ultrasonic waves will be the focus of this thesis work. This thesis presents a new method for detecting and classifying a predefined set of hand gestures using a single ultrasonic transmitter and a single ultrasonic receiver. This method uses a linear frequency modulated ultrasonic signal. The ultrasonic signal is designed to meet the project requirements such as the update rate, the range of detection, etc. Also, it needs to overcome hardware limitations such as the limited output power, transmitter, and receiver bandwidth, etc. The method can be adapted to other hardware setups. Gestures are identified based on two main features; range estimation of the moving hand and received signal strength (RSS). These two factors are estimated using two simple methods; channel impulse response (CIR) and cross correlation (CC) of the reflected ultrasonic signal from the gesturing hand. A customized simple hardware setup was used to classify a set of hand gestures with high accuracy. The detection and classification were done using methods of low computational cost. This makes the proposed method to have a great potential for the implementation in many devices including laptops and mobile phones. The predefined set of gestures can be used for many control applications.

  7. Motion in radiotherapy

    DEFF Research Database (Denmark)

    Korreman, Stine Sofia

    2012-01-01

    This review considers the management of motion in photon radiation therapy. An overview is given of magnitudes and variability of motion of various structures and organs, and how the motion affects images by producing artifacts and blurring. Imaging of motion is described, including 4DCT and 4DPE...

  8. Comparative Analysis of Classifiers for Classification of Emergency Braking of Road Motor Vehicles

    Directory of Open Access Journals (Sweden)

    Albert Podusenko

    2017-11-01

    Full Text Available We investigate the feasibility of classifying (inferring the emergency braking situations in road vehicles from the motion pattern of the accelerator pedal. We trained and compared several classifiers and employed genetic algorithms to tune their associated hyperparameters. Using offline time series data of the dynamics of the accelerator pedal as the test set, the experimental results suggest that the evolved classifiers detect the emergency braking situation with at least 93% accuracy. The best performing classifier could be integrated into the agent that perceives the dynamics of the accelerator pedal in real time and—if emergency braking is detected—acts by applying full brakes well before the driver would have been able to apply them.

  9. Development of a prototype over-actuated biomimetic prosthetic hand.

    Science.gov (United States)

    Williams, Matthew R; Walter, Wayne

    2015-01-01

    The loss of a hand can greatly affect quality of life. A prosthetic device that can mimic normal hand function is very important to physical and mental recuperation after hand amputation, but the currently available prosthetics do not fully meet the needs of the amputee community. Most prosthetic hands are not dexterous enough to grasp a variety of shaped objects, and those that are tend to be heavy, leading to discomfort while wearing the device. In order to attempt to better simulate human hand function, a dexterous hand was developed that uses an over-actuated mechanism to form grasp shape using intrinsic joint mounted motors in addition to a finger tendon to produce large flexion force for a tight grip. This novel actuation method allows the hand to use small actuators for grip shape formation, and the tendon to produce high grip strength. The hand was capable of producing fingertip flexion force suitable for most activities of daily living. In addition, it was able to produce a range of grasp shapes with natural, independent finger motion, and appearance similar to that of a human hand. The hand also had a mass distribution more similar to a natural forearm and hand compared to contemporary prosthetics due to the more proximal location of the heavier components of the system. This paper describes the design of the hand and controller, as well as the test results.

  10. Development of a prototype over-actuated biomimetic prosthetic hand.

    Directory of Open Access Journals (Sweden)

    Matthew R Williams

    Full Text Available The loss of a hand can greatly affect quality of life. A prosthetic device that can mimic normal hand function is very important to physical and mental recuperation after hand amputation, but the currently available prosthetics do not fully meet the needs of the amputee community. Most prosthetic hands are not dexterous enough to grasp a variety of shaped objects, and those that are tend to be heavy, leading to discomfort while wearing the device. In order to attempt to better simulate human hand function, a dexterous hand was developed that uses an over-actuated mechanism to form grasp shape using intrinsic joint mounted motors in addition to a finger tendon to produce large flexion force for a tight grip. This novel actuation method allows the hand to use small actuators for grip shape formation, and the tendon to produce high grip strength. The hand was capable of producing fingertip flexion force suitable for most activities of daily living. In addition, it was able to produce a range of grasp shapes with natural, independent finger motion, and appearance similar to that of a human hand. The hand also had a mass distribution more similar to a natural forearm and hand compared to contemporary prosthetics due to the more proximal location of the heavier components of the system. This paper describes the design of the hand and controller, as well as the test results.

  11. CLASSIFIED BY SUBJECT IN SPORT SCIENCES

    Directory of Open Access Journals (Sweden)

    Petar Protić

    2007-05-01

    Full Text Available High school and academic libraries users need precise classifi cation and subject access review of printed and electronic resources. In library catalogue since, Universal Decimal Classifi cation (UDC -similar to Dewey system - ex classifi es research and scientifi c areas. in subject areas of 796 Sport and 371 Teaching. Nowadays, users need structure of subjects by disciplines in science. Full-open resources of library must be set for users in subject access catalogue, because on the example of bachelors degree thesis in Faculty of Physical Education in Novi Sad they reaches for disciplines in database with 36 indexes sort by fi rst letters in names (Athletics, Boxing, Cycling, etc. This database have single and multiplied index for each thesis. Users in 80% cases of research according to the subject access catalogue of this library.

  12. Classifiers of quantity and quality in Romanian

    Directory of Open Access Journals (Sweden)

    Mihaela Tănase-Dogaru

    2013-11-01

    Full Text Available The present paper proposes that classifiers in Romanian pertain to two distinct categories: classifiers of quantity or “massifiers” and classifiers of quality or “count-classifiers”, to borrow the terms from Cheng and Sybesma (1999. The first category is represented by the first nominal in a pseudopartitive construction of the type o bucată de brânză / a piece of cheese (Tănase-Dogaru 2009. The second category is represented by the first nominal in the so-called restrictive appositives, an example of which is Planeta Venus / the planet Venus (van Riemsdijk 1998, Cornilescu 2007. An important result of the paper is the unification under a similar treatment of concepts which are generally offered different analyses in the literature.

  13. Clean Hands Count

    Medline Plus

    Full Text Available ... reminding healthcare providers to clean their hands. See: https://www.cdc.gov/handhygiene/campa... . Comments on this ... are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/... This video can ...

  14. Hand Hygiene Saves Lives

    Medline Plus

    Full Text Available ... prepared for different audiences including, children, parents, and public health professionals. More > Hand Hygiene Saves Lives (5:10) ... prepared for different audiences including, children, parents, and public health professionals. More > File Formats Help: How do I ...

  15. Clean Hands Count

    Medline Plus

    Full Text Available ... out why Close Clean Hands Count Centers for Disease Control and Prevention (CDC) Loading... Unsubscribe from Centers for Disease Control and Prevention (CDC)? Cancel Unsubscribe Working... Subscribe ...

  16. A Myoelectric Hand Splint

    Science.gov (United States)

    Silverstein, Frances; And Others

    1974-01-01

    Development of a myoelectrically controlled hand splint permitting ambulating mobility of the user is discussed. The role of occupational therapy in the research and design of the device and the training of the patient are emphasized. (Authors)

  17. Clean Hands Count

    Medline Plus

    Full Text Available ... makes for happy holidays Loading... Even the scrooges will smile at 3 free months of ad-free ... Autoplay When autoplay is enabled, a suggested video will automatically play next. Up next Wash your Hands - ...

  18. Clean Hands Count

    Medline Plus

    Full Text Available ... Clean Hands Count Centers for Disease Control and Prevention (CDC) Loading... Unsubscribe from Centers for Disease Control and Prevention (CDC)? Cancel Unsubscribe Working... Subscribe Subscribed Unsubscribe 59K ...

  19. Hand Hygiene Saves Lives

    Medline Plus

    Full Text Available ... Please Parents Want To Do What′s Best The Obesity Epidemic Outbreaks CDC: Protecting Americans through Global Health ... captioning. Videos are prepared for different audiences including, children, parents, and public health professionals. More > Hand Hygiene ...

  20. Hand Eczema: Treatment options

    DEFF Research Database (Denmark)

    Lund, Tamara Theresia; Agner, Tove

    2017-01-01

    Hand eczema is a common disease, it affects young people, is often work-related, and the burden of the disease is significant for the individual as well as for society. Factors to be considered when choosing a treatment strategy are, among others, whether the eczema is acute or chronic, the sever......Hand eczema is a common disease, it affects young people, is often work-related, and the burden of the disease is significant for the individual as well as for society. Factors to be considered when choosing a treatment strategy are, among others, whether the eczema is acute or chronic......, the severity of the disease, and the specific sub-diagnosis of hand eczema, which relates to the etiology as well as the morphology of the disease. Optimal treatment is still a challenge. This review seeks to provide an overview of the most updated treatment of hand eczema....

  1. Hand Hygiene Saves Lives

    Medline Plus

    Full Text Available ... get more than a million infections in the hospital while being treated for something else. The best ... reminding healthcare providers to practice hand hygiene in hospitals and other healthcare facilities. Release Date: 8/4/ ...

  2. Clean Hands Count

    Medline Plus

    Full Text Available ... Clean Hands Count Centers for Disease Control and Prevention (CDC) Loading... Unsubscribe from Centers for Disease Control and Prevention (CDC)? Cancel Unsubscribe Working... Subscribe Subscribed Unsubscribe 60K ...

  3. Hand Hygiene Saves Lives

    Medline Plus

    Full Text Available ... Lives Wash Your Hands Physical Activity Knees Lifted High Making Health Easier: Active Living in Philadelphia, PA ... Go: Passport To Health (4:17) Vital Signs High Blood Pressure Spanish Diseases & Conditions Hablemos de la ...

  4. Clean Hands Count

    Medline Plus

    Full Text Available ... empower patients to play a role in their care by asking or reminding healthcare providers to clean ... 290 views 1:27 Hand Hygiene for Health Care Workers - Germ Smart - Duration: 5:45. Former Saskatoon ...

  5. Osteoarthritis of the Hand

    Science.gov (United States)

    ... Therapist? Media Find a Hand Surgeon Home Anatomy Osteoarthritis Email to a friend * required fields From * To * ... for those with osteoarthritis. TREATMENT The Diagnosis of Osteoarthritis When diagnosing osteoarthritis, your doctor will ask you ...

  6. Hand Hygiene Saves Lives

    Medline Plus

    Full Text Available ... CDC-TV videos cover a variety of health, safety and preparedness topics and include closed-captioning. Videos are prepared for different audiences including, children, parents, and public health professionals. More > Hand Hygiene ...

  7. Clean Hands Count

    Medline Plus

    Full Text Available ... to a playlist. Sign in Share More Report Need to report the video? Sign in to report ... WHO: SAVE LIVES - Clean Your Hands - No action today; no cure tomorrow - Duration: 3:10. World Health ...

  8. Clean Hands Count

    Medline Plus

    Full Text Available ... myths and misperceptions about hand hygiene and empower patients to play a role in their care by ... Copyright Creators Advertise Developers +YouTube Terms Privacy Policy & Safety Send feedback Test new features Loading... Working... Sign ...

  9. Second Hand Smoke: Danger

    Science.gov (United States)

    ... What's this? Submit Button Past Emails Second Hand Smoke: Danger! Recommend on Facebook Tweet Share Compartir Make ... the United States are still exposed to secondhand smoke, even though cigarette smoking rates are dropping and ...

  10. Hand eczema classification

    DEFF Research Database (Denmark)

    Diepgen, T L; Andersen, Klaus Ejner; Brandao, F M

    2008-01-01

    Summary Background Hand eczema is a long-lasting disease with a high prevalence in the background population. The disease has severe, negative effects on quality of life and sometimes on social status. Epidemiological studies have identified risk factors for onset and prognosis, but treatment...... of the disease is rarely evidence based, and a classification system for different subdiagnoses of hand eczema is not agreed upon. Randomized controlled trials investigating the treatment of hand eczema are called for. For this, as well as for clinical purposes, a generally accepted classification system...... A classification system for hand eczema is proposed. Conclusions It is suggested that this classification be used in clinical work and in clinical trials....

  11. Clean Hands Count

    Medline Plus

    Full Text Available ... why Close Clean Hands Count Centers for Disease Control and Prevention (CDC) Loading... Unsubscribe from Centers for Disease Control and Prevention (CDC)? Cancel Unsubscribe Working... Subscribe Subscribed ...

  12. Clean Hands Count

    Medline Plus

    Full Text Available ... Duration: 4:13. Seeker 139,093 views 4:13 Hand Hygiene from rubbing to dancing - Duration: 3:56. Hopitaux ... Loading... Loading... Loading... About Press Copyright Creators ...

  13. Clean Hands Count

    Medline Plus

    Full Text Available ... empower patients to play a role in their care by asking or reminding healthcare providers to clean ... 584 views 1:53 Hand Hygiene for Health Care Workers - Germ Smart - Duration: 5:45. Former Saskatoon ...

  14. Clean Hands Count

    Medline Plus

    Full Text Available ... Prevention (CDC) 199,340 views 1:04 Preventing Cancer Infections: Hand Washing - Duration: 0:57. Preventing Infections in Cancer Patients 643 views 0:57 Dettol Global Handwashing ...

  15. Hand Hygiene Saves Lives

    Medline Plus

    Full Text Available ... Other versions: Spanish (5:10) Healthy Living Featured Videos Fight Germs. Wash Your Hands! Making Health Easier: ... Us Feedback What do you think of our videos? Your feedback about CDC-TV and our videos ...

  16. Clean Hands Count

    Medline Plus

    Full Text Available ... Published on May 5, 2017 This video for healthcare providers is intended to promote or encourage adherence ... role in their care by asking or reminding healthcare providers to clean their hands. See: https://www. ...

  17. Clean Hands Count

    Medline Plus

    Full Text Available ... Hands Count Centers for Disease Control and Prevention (CDC) Loading... Unsubscribe from Centers for Disease Control and Prevention (CDC)? Cancel Unsubscribe Working... Subscribe Subscribed Unsubscribe 61K Loading... ...

  18. Design of Robust Neural Network Classifiers

    DEFF Research Database (Denmark)

    Larsen, Jan; Andersen, Lars Nonboe; Hintz-Madsen, Mads

    1998-01-01

    This paper addresses a new framework for designing robust neural network classifiers. The network is optimized using the maximum a posteriori technique, i.e., the cost function is the sum of the log-likelihood and a regularization term (prior). In order to perform robust classification, we present...... a modified likelihood function which incorporates the potential risk of outliers in the data. This leads to the introduction of a new parameter, the outlier probability. Designing the neural classifier involves optimization of network weights as well as outlier probability and regularization parameters. We...

  19. A survey of decision tree classifier methodology

    Science.gov (United States)

    Safavian, S. R.; Landgrebe, David

    1991-01-01

    Decision tree classifiers (DTCs) are used successfully in many diverse areas such as radar signal classification, character recognition, remote sensing, medical diagnosis, expert systems, and speech recognition. Perhaps the most important feature of DTCs is their capability to break down a complex decision-making process into a collection of simpler decisions, thus providing a solution which is often easier to interpret. A survey of current methods is presented for DTC designs and the various existing issues. After considering potential advantages of DTCs over single-state classifiers, subjects of tree structure design, feature selection at each internal node, and decision and search strategies are discussed.

  20. A survey of decision tree classifier methodology

    Science.gov (United States)

    Safavian, S. Rasoul; Landgrebe, David

    1990-01-01

    Decision Tree Classifiers (DTC's) are used successfully in many diverse areas such as radar signal classification, character recognition, remote sensing, medical diagnosis, expert systems, and speech recognition. Perhaps, the most important feature of DTC's is their capability to break down a complex decision-making process into a collection of simpler decisions, thus providing a solution which is often easier to interpret. A survey of current methods is presented for DTC designs and the various existing issue. After considering potential advantages of DTC's over single stage classifiers, subjects of tree structure design, feature selection at each internal node, and decision and search strategies are discussed.

  1. Evaluating Microarray-based Classifiers: An Overview

    Directory of Open Access Journals (Sweden)

    M. Daumer

    2008-01-01

    Full Text Available For the last eight years, microarray-based class prediction has been the subject of numerous publications in medicine, bioinformatics and statistics journals. However, in many articles, the assessment of classification accuracy is carried out using suboptimal procedures and is not paid much attention. In this paper, we carefully review various statistical aspects of classifier evaluation and validation from a practical point of view. The main topics addressed are accuracy measures, error rate estimation procedures, variable selection, choice of classifiers and validation strategy.

  2. A Customizable Text Classifier for Text Mining

    Directory of Open Access Journals (Sweden)

    Yun-liang Zhang

    2007-12-01

    Full Text Available Text mining deals with complex and unstructured texts. Usually a particular collection of texts that is specified to one or more domains is necessary. We have developed a customizable text classifier for users to mine the collection automatically. It derives from the sentence category of the HNC theory and corresponding techniques. It can start with a few texts, and it can adjust automatically or be adjusted by user. The user can also control the number of domains chosen and decide the standard with which to choose the texts based on demand and abundance of materials. The performance of the classifier varies with the user's choice.

  3. Smart Hand For Manipulators

    Science.gov (United States)

    Fiorini, Paolo

    1987-10-01

    Sensor based, computer controlled end effectors for mechanical arms are receiving more and more attention in the robotics industry, because commonly available grippers are only adequate for simple pick and place tasks. This paper describes the current status of the research at JPL on a smart hand for a Puma 560 robot arm. The hand is a self contained, autonomous system, capable of executing high level commands from a supervisory computer. The mechanism consists of parallel fingers, powered by a DC motor, and controlled by a microprocessor embedded in the hand housing. Special sensors are integrated in the hand for measuring the grasp force of the fingers, and for measuring forces and torques applied between the arm and the surrounding environment. Fingers can be exercised under position, velocity and force control modes. The single-chip microcomputer in the hand executes the tasks of communication, data acquisition and sensor based motor control, with a sample cycle of 2 ms and a transmission rate of 9600 baud. The smart hand described in this paper represents a new development in the area of end effector design because of its multi-functionality and autonomy. It will also be a versatile test bed for experimenting with advanced control schemes for dexterous manipulation.

  4. Motion Transplantation Techniques: A Survey

    NARCIS (Netherlands)

    van Basten, Ben|info:eu-repo/dai/nl/30484800X; Egges, Arjan|info:eu-repo/dai/nl/304822779

    2012-01-01

    During the past decade, researchers have developed several techniques for transplanting motions. These techniques transplant a partial auxiliary motion, possibly defined for a small set of degrees of freedom, on a base motion. Motion transplantation improves motion databases' expressiveness and

  5. Design of a wearable hand exoskeleton for exercising flexion/extension of the fingers.

    Science.gov (United States)

    Jo, Inseong; Lee, Jeongsoo; Park, Yeongyu; Bae, Joonbum

    2017-07-01

    In this paper, design of a wearable hand exoskeleton system for exercising flexion/extension of the fingers, is proposed. The exoskeleton was designed with a simple and wearable structure to aid finger motions in 1 degree of freedom (DOF). A hand grasping experiment by fully-abled people was performed to investigate general hand flexion/extension motions and the polynomial curve of general hand motions was obtained. To customize the hand exoskeleton for the user, the polynomial curve was adjusted to the joint range of motion (ROM) of the user and the optimal design of the exoskeleton structure was obtained using the optimization algorithm. A prototype divided into two parts (one part for the thumb, the other for rest fingers) was actuated by only two linear motors for compact size and light weight.

  6. Classifying and quantifying basins of attraction

    Energy Technology Data Exchange (ETDEWEB)

    Sprott, J. C.; Xiong, Anda [Physics Department, University of Wisconsin-Madison, 1150 University Avenue, Madison, Wisconsin 53706 (United States)

    2015-08-15

    A scheme is proposed to classify the basins for attractors of dynamical systems in arbitrary dimensions. There are four basic classes depending on their size and extent, and each class can be further quantified to facilitate comparisons. The calculation uses a Monte Carlo method and is applied to numerous common dissipative chaotic maps and flows in various dimensions.

  7. Feature selection based classifier combination approach for ...

    Indian Academy of Sciences (India)

    Conditional mutual information based feature selection when driving the ensemble of classifier produces improved recognition results for most of the benchmarking datasets. The improve- ment is also observed with maximum relevance minimum redundancy based feature selection when used in combination with ensemble ...

  8. Classifying bicrossed products of two Taft algebras

    OpenAIRE

    Agore, A. L.

    2016-01-01

    We classify all Hopf algebras which factorize through two Taft algebras $\\mathbb{T}_{n^{2}}(\\bar{q})$ and respectively $T_{m^{2}}(q)$. To start with, all possible matched pairs between the two Taft algebras are described: if $\\bar{q} \

  9. A Classifier Learning Method through Data Summaries

    Science.gov (United States)

    Suematsu, Nobuo; Nakayasu, Toshiko; Hayashi, Akira

    Knowledge discovery in databases (KDD) has been studied intensively recent years. In KDD, inductive classifier learning methods which were developed in statistics and machine learning have been used to extract classification rules from databases. Although in KDD we have to deal with large databases in many cases, many of the previous classifier learning methods are not suitable for large databases. They were designed under assumption that any data in databases is accessible on demand and they usually need to access a datum several times in a process of learning. So, they require a huge memory space or a large I/O cost to access storage devices. In this paper, we propose a classifier learning method, we call CIDRE, in which data summaries are constructed and classifiers are learned from the summaries. This learning method is realized by using a clustering method, we call MCF-tree, which is an extension of CF-tree proposed by Zhang et al. In the method, we can specify the size of memory space occupied by data summaries, and databases are swept only once to construct the summaries. In addition, new instances can be inserted into the summaries incrementally. Thus, the method possesses important properties which are desirable to deal with large databases. We also show empirical results, which indicate that our method performs very well in comparison to C4.5 and naive Bayes, and the extension from CF-tree to MCF-tree is indispensable to achieve high classification accuracy.

  10. Multilevel Growth Mixture Models for Classifying Groups

    Science.gov (United States)

    Palardy, Gregory J.; Vermunt, Jeroen K.

    2010-01-01

    This article introduces a multilevel growth mixture model (MGMM) for classifying both the individuals and the groups they are nested in. Nine variations of the general model are described that differ in terms of categorical and continuous latent variable specification within and between groups. An application in the context of school effectiveness…

  11. On the interpretation of number and classifiers

    NARCIS (Netherlands)

    Cheng, L.L.; Doetjes, J.S.; Sybesma, R.P.E.; Zamparelli, R.

    2012-01-01

    Mandarin and Cantonese, both of which are numeral classifier languages, present an interesting puzzle concerning a compositional account of number in the various forms of nominals. First, bare nouns are number neutral (or vague in number). Second, cl-noun combinations appear to have different

  12. Neural Classifier Construction using Regularization, Pruning

    DEFF Research Database (Denmark)

    Hintz-Madsen, Mads; Hansen, Lars Kai; Larsen, Jan

    1998-01-01

    In this paper we propose a method for construction of feed-forward neural classifiers based on regularization and adaptive architectures. Using a penalized maximum likelihood scheme, we derive a modified form of the entropic error measure and an algebraic estimate of the test error. In conjunction...

  13. Face detection by aggregated Bayesian network classifiers

    NARCIS (Netherlands)

    Pham, T.V.; Worring, M.; Smeulders, A.W.M.

    2002-01-01

    A face detection system is presented. A new classification method using forest-structured Bayesian networks is used. The method is used in an aggregated classifier to discriminate face from non-face patterns. The process of generating non-face patterns is integrated with the construction of the

  14. MScanner: a classifier for retrieving Medline citations.

    Science.gov (United States)

    Poulter, Graham L; Rubin, Daniel L; Altman, Russ B; Seoighe, Cathal

    2008-02-19

    Keyword searching through PubMed and other systems is the standard means of retrieving information from Medline. However, ad-hoc retrieval systems do not meet all of the needs of databases that curate information from literature, or of text miners developing a corpus on a topic that has many terms indicative of relevance. Several databases have developed supervised learning methods that operate on a filtered subset of Medline, to classify Medline records so that fewer articles have to be manually reviewed for relevance. A few studies have considered generalisation of Medline classification to operate on the entire Medline database in a non-domain-specific manner, but existing applications lack speed, available implementations, or a means to measure performance in new domains. MScanner is an implementation of a Bayesian classifier that provides a simple web interface for submitting a corpus of relevant training examples in the form of PubMed IDs and returning results ranked by decreasing probability of relevance. For maximum speed it uses the Medical Subject Headings (MeSH) and journal of publication as a concise document representation, and takes roughly 90 seconds to return results against the 16 million records in Medline. The web interface provides interactive exploration of the results, and cross validated performance evaluation on the relevant input against a random subset of Medline. We describe the classifier implementation, cross validate it on three domain-specific topics, and compare its performance to that of an expert PubMed query for a complex topic. In cross validation on the three sample topics against 100,000 random articles, the classifier achieved excellent separation of relevant and irrelevant article score distributions, ROC areas between 0.97 and 0.99, and averaged precision between 0.69 and 0.92. MScanner is an effective non-domain-specific classifier that operates on the entire Medline database, and is suited to retrieving topics for which

  15. Hands of early primates.

    Science.gov (United States)

    Boyer, Doug M; Yapuncich, Gabriel S; Chester, Stephen G B; Bloch, Jonathan I; Godinot, Marc

    2013-12-01

    Questions surrounding the origin and early evolution of primates continue to be the subject of debate. Though anatomy of the skull and inferred dietary shifts are often the focus, detailed studies of postcrania and inferred locomotor capabilities can also provide crucial data that advance understanding of transitions in early primate evolution. In particular, the hand skeleton includes characteristics thought to reflect foraging, locomotion, and posture. Here we review what is known about the early evolution of primate hands from a comparative perspective that incorporates data from the fossil record. Additionally, we provide new comparative data and documentation of skeletal morphology for Paleogene plesiadapiforms, notharctines, cercamoniines, adapines, and omomyiforms. Finally, we discuss implications of these data for understanding locomotor transitions during the origin and early evolutionary history of primates. Known plesiadapiform species cannot be differentiated from extant primates based on either intrinsic hand proportions or hand-to-body size proportions. Nonetheless, the presence of claws and a different metacarpophalangeal [corrected] joint form in plesiadapiforms indicate different grasping mechanics. Notharctines and cercamoniines have intrinsic hand proportions with extremely elongated proximal phalanges and digit rays relative to metacarpals, resembling tarsiers and galagos. But their hand-to-body size proportions are typical of many extant primates (unlike those of tarsiers, and possibly Teilhardina, which have extremely large hands). Non-adapine adapiforms and omomyids exhibit additional carpal features suggesting more limited dorsiflexion, greater ulnar deviation, and a more habitually divergent pollex than observed plesiadapiforms. Together, features differentiating adapiforms and omomyiforms from plesiadapiforms indicate increased reliance on vertical prehensile-clinging and grasp-leaping, possibly in combination with predatory behaviors in

  16. Analysis and Visualization of 3D Motion Data for UPDRS Rating of Patients with Parkinson’s Disease

    Directory of Open Access Journals (Sweden)

    Neltje E. Piro

    2016-06-01

    Full Text Available Remote monitoring of Parkinson’s Disease (PD patients with inertia sensors is a relevant method for a better assessment of symptoms. We present a new approach for symptom quantification based on motion data: the automatic Unified Parkinson Disease Rating Scale (UPDRS classification in combination with an animated 3D avatar giving the neurologist the impression of having the patient live in front of him. In this study we compared the UPDRS ratings of the pronation-supination task derived from: (a an examination based on video recordings as a clinical reference; (b an automatically classified UPDRS; and (c a UPDRS rating from the assessment of the animated 3D avatar. Data were recorded using Magnetic, Angular Rate, Gravity (MARG sensors with 15 subjects performing a pronation-supination movement of the hand. After preprocessing, the data were classified with a J48 classifier and animated as a 3D avatar. Video recording of the movements, as well as the 3D avatar, were examined by movement disorder specialists and rated by UPDRS. The mean agreement between the ratings based on video and (b the automatically classified UPDRS is 0.48 and with (c the 3D avatar it is 0.47. The 3D avatar is similarly suitable for assessing the UPDRS as video recordings for the examined task and will be further developed by the research team.

  17. Inexpensive Complex Hand Model Twenty Years Later.

    Science.gov (United States)

    Frenger, Paul

    2015-01-01

    Twenty years ago the author unveiled his inexpensive complex hand model, which reproduced every motion of the human hand. A control system programmed in the Forth language operated its actuators and sensors. Follow-on papers for this popular project were next presented in Texas, Canada and Germany. From this hand grew the author’s meter-tall robot (nicknamed ANNIE: Android With Neural Networks, Intellect and Emotions). It received machine vision, facial expressiveness, speech synthesis and speech recognition; a simian version also received a dexterous ape foot. New artificial intelligence features included op-amp neurons for OCR and simulated emotions, hormone emulation, endocannabinoid receptors, fear-trust-love mechanisms, a Grandmother Cell recognizer and artificial consciousness. Simulated illnesses included narcotic addiction, autism, PTSD, fibromyalgia and Alzheimer’s disease. The author gave 13 robotics-AI presentations at NASA in Houston since 2006. A meter-tall simian robot was proposed with gripping hand-feet for use with space vehicles and to explore distant planets and moons. Also proposed were: intelligent motorized exoskeletons for astronaut force multiplication; a cognitive prosthesis to detect and alleviate decreased crew mental performance; and a gynoid robot medic to tend astronauts in deep space missions. What began as a complex hand model evolved into an innovative robot-AI within two decades.

  18. Recognizing the Operating Hand and the Hand-Changing Process for User Interface Adjustment on Smartphones

    Directory of Open Access Journals (Sweden)

    Hansong Guo

    2016-08-01

    Full Text Available As the size of smartphone touchscreens has become larger and larger in recent years, operability with a single hand is getting worse, especially for female users. We envision that user experience can be significantly improved if smartphones are able to recognize the current operating hand, detect the hand-changing process and then adjust the user interfaces subsequently. In this paper, we proposed, implemented and evaluated two novel systems. The first one leverages the user-generated touchscreen traces to recognize the current operating hand, and the second one utilizes the accelerometer and gyroscope data of all kinds of activities in the user’s daily life to detect the hand-changing process. These two systems are based on two supervised classifiers constructed from a series of refined touchscreen trace, accelerometer and gyroscope features. As opposed to existing solutions that all require users to select the current operating hand or confirm the hand-changing process manually, our systems follow much more convenient and practical methods and allow users to change the operating hand frequently without any harm to the user experience. We conduct extensive experiments on Samsung Galaxy S4 smartphones, and the evaluation results demonstrate that our proposed systems can recognize the current operating hand and detect the hand-changing process with 94.1% and 93.9% precision and 94.1% and 93.7% True Positive Rates (TPR respectively, when deciding with a single touchscreen trace or accelerometer-gyroscope data segment, and the False Positive Rates (FPR are as low as 2.6% and 0.7% accordingly. These two systems can either work completely independently and achieve pretty high accuracies or work jointly to further improve the recognition accuracy.

  19. Action Recognition in Semi-synthetic Images using Motion Primitives

    DEFF Research Database (Denmark)

    Fihl, Preben; Holte, Michael Boelstoft; Moeslund, Thomas B.

    This technical report describes an action recognition approach based on motion primitives. A few characteristic time instances are found in a sequence containing an action and the action is classified from these instances. The characteristic instances are defined solely on the human motion, hence...... motion primitives. The motion primitives are extracted by double difference images and represented by four features. In each frame the primitive, if any, that best explains the observed data is identified. This leads to a discrete recognition problem since a video sequence will be converted into a string...

  20. Control of Prosthetic Hands via the Peripheral Nervous System

    OpenAIRE

    Anna Lisa eCiancio; Francesca eCordella; Roberto eBarone; Rocco Antonio Romeo; Alberto eDellacasa Bellingegni; Rinaldo eSacchetti; Angelo eDavalli; Giovanni eDi Pino; Federico eRanieri; Vincenzo eDi Lazzaro; Eugenio eGuglielmelli; Loredana eZollo

    2016-01-01

    This paper intends to provide a critical review of the literature on the technological issues on control and sensorization of hand prostheses interfacing with the Peripheral Nervous System (i.e., PNS), and their experimental validation on amputees. The study opens with an in-depth analysis of control solutions and sensorization features of research and commercially available prosthetic hands. Pros and cons of adopted technologies, signal processing techniques and motion control solutions are ...

  1. Neural-Network Control Of Prosthetic And Robotic Hands

    Science.gov (United States)

    Buckley, Theresa M.

    1991-01-01

    Electronic neural networks proposed for use in controlling robotic and prosthetic hands and exoskeletal or glovelike electromechanical devices aiding intact but nonfunctional hands. Specific to patient, who activates grasping motion by voice command, by mechanical switch, or by myoelectric impulse. Patient retains higher-level control, while lower-level control provided by neural network analogous to that of miniature brain. During training, patient teaches miniature brain to perform specialized, anthropomorphic movements unique to himself or herself.

  2. Hand Hygiene: When and How

    Science.gov (United States)

    Hand Hygiene When and How August 2009 How to handrub? How to handwash? RUB HANDS FOR HAND HYGIENE! WASH HANDS WHEN VISIBLY SOILED Duration of the ... from its use. When? YOUR 5 MOMENTS FOR HAND HYGIENE 1 BEFORETOUCHINGA PATIENT 2 B P ECFLOER R ...

  3. Macro motion vector quantization

    Science.gov (United States)

    Lee, Yoon Y.; Woods, John W.

    1995-04-01

    A new algorithm is developed for reducing the bit rate required for motion vectors. This algorithm is a generalization of block matching motion estimation in which the search region is represented as a codebook of motion vectors. The new algorithm, called macro motion vector quantization (MMVQ), generalized our earlier MVQ by coding a group of motion vectors. The codebook is a set of macro motion vectors which represent the block locations of the small neighboring blocks in the previous frame. We develop an interative design algorithm for the codebook. Our experiments show that the variances of displaced frame differences (DFDs) are reduced significantly compared to block matching algorithm (BMA) with the macroblock size.

  4. The Neurological Hand Deformity Classification for children with cerebral palsy.

    Science.gov (United States)

    Georgiades, Melissa; Elliott, Catherine; Wilton, Judith; Blair, Eve; Blackmore, Marie; Garbellini, Simon

    2014-12-01

    The purpose of this study was to evaluate the reliability of the Neurological Hand Deformity Classification and use it to describe changes in hand deformity over time in children with cerebral palsy. We identified 114 video clips of 26 children with cerebral palsy, aged 1-18 years (mean = 8.4, SD = 4.2), performing upper-limb tasks at multiple time points (n = 3-8) at least 6 months apart. Using the Neurological Hand Deformity Classification, three observers classified hand deformity in the video clips. Inter- and intra-observer reliabilities were estimated using Fleiss and Cohen's kappa (κ) and the temporal changes in classification of hand deformity were investigated. Inter- and intra-observer reliability respectively were κ = 0.87 and κ = 0.91. Hand deformity was identified in all children at all time points, even before the age of 2 years. Ten children did not change hand classification, wrist flexion increased in eight, and eight showed changes from wrist flexion to extension or vice versa. The Neurological Hand Deformity Classification is a reliable tool to classify hand deformity in children with cerebral palsy. For more than one-third of children hand deformity classification did not change. For the remaining children, two patterns of change in hand deformity over time were identified. It is recommended that children with cerebral palsy involving their upper limbs be monitored regularly. This is the first study to document longitudinal changes in hand deformity in children with cerebral palsy. © 2014 Occupational Therapy Australia.

  5. The diabetic hand

    Directory of Open Access Journals (Sweden)

    C. Circhetta

    2011-09-01

    Full Text Available Diabetes mellitus is a chronic metabolic condition characterized by persistent hyperglycaemia with resultant morbidity and mortality related to its microvascular and macrovascular complications. In addition diabetes is also associated with several musculoskeletal disorders of the hand, that can be debilitating. There is increased incidence of these abnormalities in patients with type 1 and type 2 diabetes compared with the general population, related to disease duration but not to the age or sex. Typical diabetes associated hand condition include the palmar flexor tenosynovitis, Dupuytren’s contracture, syndrome of limited joint mobility, carpal tunnel syndrome, Charcot arthropathy and reflex sympathetic dystrophy. Maintaining good glycaemic control by exercise, diet and drugs improves or prevents the development of these hand rheumatic condition. In this brief report we review the rational therapeutic approach to these disorders.

  6. Human motion sensing and recognition a fuzzy qualitative approach

    CERN Document Server

    Liu, Honghai; Ji, Xiaofei; Chan, Chee Seng; Khoury, Mehdi

    2017-01-01

    This book introduces readers to the latest exciting advances in human motion sensing and recognition, from the theoretical development of fuzzy approaches to their applications. The topics covered include human motion recognition in 2D and 3D, hand motion analysis with contact sensors, and vision-based view-invariant motion recognition, especially from the perspective of Fuzzy Qualitative techniques. With the rapid development of technologies in microelectronics, computers, networks, and robotics over the last decade, increasing attention has been focused on human motion sensing and recognition in many emerging and active disciplines where human motions need to be automatically tracked, analyzed or understood, such as smart surveillance, intelligent human-computer interaction, robot motion learning, and interactive gaming. Current challenges mainly stem from the dynamic environment, data multi-modality, uncertain sensory information, and real-time issues. These techniques are shown to effectively address the ...

  7. Hand dermatitis: uncommon presentations.

    Science.gov (United States)

    Bauer, Andrea

    2005-01-01

    Hand dermatitis is a common diagnosis seen in dermatologic and general practice. It can present with typical morphology, but uncommon manifestations are possible. This review reports on common and uncommon presentations of irritant and allergic hand dermatitis focusing on uncommon localizations, time course, and morphology such as follicular, pustular, bullous, ulcerous, exudative erythema multiforme-like, purpuric, lichenoid, pigmented, and depigmented skin lesions. Clinical diagnosis can be challenging. Even histopathology is not always very helpful. Thorough evaluation of the patient's history and investigation of clinical morphology are the cornerstones of diagnosis.

  8. Mind the hand

    DEFF Research Database (Denmark)

    Davidsen, Jacob; Christiansen, Ellen Tove

    2014-01-01

    their hands in activities around touchscreens, focusing in particular on how they collaborate. The analysis presented here is part of a research study on the use of touchscreens in children’s embodied and multimodal collaborative learning activities in their everyday classrooms. The general aim of the study......, to construct and problem solve, and to show and imitate. The analyses show how a space emerges from the interaction between the children and the touchscreen, and how their hand movements reveal intelligence-as-action. Three situations with three different pairs were analysed to explore how children use...

  9. Adam Smith's Invisible Hands

    OpenAIRE

    Peter Minowitz

    2004-01-01

    William Grampp’s JPE article on Adam Smith is creative and provocative. It errs, however, by disparaging the invisible hand’s importance as a symbol of various economic processes that help societies prosper in ways that individuals neither intend nor comprehend. Four specific problems stand out. First, Grampp unsoundly tries to limit the relevance of the invisible hand within the Wealth of Nations to situations in which a merchant increases domestic capital and strengthens national defens...

  10. Animal Bites of the Hand

    Science.gov (United States)

    ... Arthritis Thumb Sprains Trigger Finger Tumors Wrist Fracture Hand Safety Fireworks Safety Lawnmower Safety Snowblower safety Pumpkin ... A-Z Videos Infographics Symptom Picker Anatomy About Hand Surgery What is a Hand Surgeon? What is ...

  11. Hand Washing: Do's and Dont's

    Science.gov (United States)

    ... for a sick person Inserting or removing contact lenses Always wash your hands after: Preparing food Using ... best to wash your hands with soap and water. Follow these steps: Wet your hands with running ...

  12. User-Independent Motion State Recognition Using Smartphone Sensors

    Directory of Open Access Journals (Sweden)

    Fuqiang Gu

    2015-12-01

    Full Text Available The recognition of locomotion activities (e.g., walking, running, still is important for a wide range of applications like indoor positioning, navigation, location-based services, and health monitoring. Recently, there has been a growing interest in activity recognition using accelerometer data. However, when utilizing only acceleration-based features, it is difficult to differentiate varying vertical motion states from horizontal motion states especially when conducting user-independent classification. In this paper, we also make use of the newly emerging barometer built in modern smartphones, and propose a novel feature called pressure derivative from the barometer readings for user motion state recognition, which is proven to be effective for distinguishing vertical motion states and does not depend on specific users’ data. Seven types of motion states are defined and six commonly-used classifiers are compared. In addition, we utilize the motion state history and the characteristics of people’s motion to improve the classification accuracies of those classifiers. Experimental results show that by using the historical information and human’s motion characteristics, we can achieve user-independent motion state classification with an accuracy of up to 90.7%. In addition, we analyze the influence of the window size and smartphone pose on the accuracy.

  13. Comparing cosmic web classifiers using information theory

    Science.gov (United States)

    Leclercq, Florent; Lavaux, Guilhem; Jasche, Jens; Wandelt, Benjamin

    2016-08-01

    We introduce a decision scheme for optimally choosing a classifier, which segments the cosmic web into different structure types (voids, sheets, filaments, and clusters). Our framework, based on information theory, accounts for the design aims of different classes of possible applications: (i) parameter inference, (ii) model selection, and (iii) prediction of new observations. As an illustration, we use cosmographic maps of web-types in the Sloan Digital Sky Survey to assess the relative performance of the classifiers T-WEB, DIVA and ORIGAMI for: (i) analyzing the morphology of the cosmic web, (ii) discriminating dark energy models, and (iii) predicting galaxy colors. Our study substantiates a data-supported connection between cosmic web analysis and information theory, and paves the path towards principled design of analysis procedures for the next generation of galaxy surveys. We have made the cosmic web maps, galaxy catalog, and analysis scripts used in this work publicly available.

  14. Classifying objects in LWIR imagery via CNNs

    Science.gov (United States)

    Rodger, Iain; Connor, Barry; Robertson, Neil M.

    2016-10-01

    The aim of the presented work is to demonstrate enhanced target recognition and improved false alarm rates for a mid to long range detection system, utilising a Long Wave Infrared (LWIR) sensor. By exploiting high quality thermal image data and recent techniques in machine learning, the system can provide automatic target recognition capabilities. A Convolutional Neural Network (CNN) is trained and the classifier achieves an overall accuracy of > 95% for 6 object classes related to land defence. While the highly accurate CNN struggles to recognise long range target classes, due to low signal quality, robust target discrimination is achieved for challenging candidates. The overall performance of the methodology presented is assessed using human ground truth information, generating classifier evaluation metrics for thermal image sequences.

  15. Viability of Hand and Wrist Photogoniometry.

    Science.gov (United States)

    Meals, Clifton G; Saunders, Rebecca J; Desale, Sameer; Means, Kenneth R

    2017-04-01

    No goniometric technique is both maximally convenient and completely accurate, although photogoniometry (ie, picture taking to facilitate digital angle measurement) shows promise in this regard. Our purpose was to test the feasibility and reliability of a photogoniometric protocol designed to measure wrist and digit range of motion in general. Two independent observers examined a sample of joints in both normal and abnormal hands according to a photogoniometric protocol. Interrater and intrarater correlation were calculated, and these measurements were compared with measurements made by a third independent examiner with a manual goniometer. The photo-based measurements were reliable within and between observers; however, only a minority of these measurements were in agreement with manually collected values. At present, photogoniometry is not an acceptable alternative to manual goniometry for determining wrist and digit range of motion in general. Joint-specific photogoniometry should be the subject of future study, as should relevant imaging and software technology.

  16. N-Zero Integrated Analog Classifier (NINA)

    Science.gov (United States)

    2017-03-01

    detected signals. For physical- asset detection and classification, passive piezoelectric MEMS resonant seismic sensors will be utilized to produce...computational circuits operating deep in the weak inversion regime and non-volatile analog memories to classify seismic signals at extremely low...frequencies to maximize the sensor output voltage with generator signal. Figure 3. Vibration signal spectrum measured from by a sensor located atop the

  17. Robot Learning Using Learning Classifier Systems Approach

    OpenAIRE

    Jabin, Suraiya

    2010-01-01

    In this chapter, I have presented Learning Classifier Systems, which add to the classical Reinforcement Learning framework the possibility of representing the state as a vector of attributes and finding a compact expression of the representation so induced. Their formalism conveys a nice interaction between learning and evolution, which makes them a class of particularly rich systems, at the intersection of several research domains. As a result, they profit from the accumulated extensions of ...

  18. Classifying and Evaluating Architecture Design Methods

    OpenAIRE

    Tekinerdogan, B.; Aksit, Mehmet; Aksit, Mehmet

    2002-01-01

    The concept of software architecture has gained a wide popularity and is generally considered to play a fundamental role in coping with the inherent difficulties of the development of large-scale and complex software systems. This chapter first gives a definition of architecture. Second, a meta-model for architecture design methods is presented. This model is used for classifying and evaluating various architecture design approaches. The chapter concludes with the description of the identifie...

  19. Classifying and evaluating architecture design methods

    OpenAIRE

    Aksit, Mehmet; Tekinerdogan, B.

    1999-01-01

    The concept of software architecture has gained a wide popularity and is generally considered to play a fundamental role in coping with the inherent difficulties of the development of large-scale and complex software systems. This document first gives a definition of architectures. Second, a meta-model for architecture design methods is presented. This model is used for classifying and evaluating various architecture design approaches. The document concludes with the description of the identi...

  20. Dynamic Dimensionality Selection for Bayesian Classifier Ensembles

    Science.gov (United States)

    2015-03-19

    Prescribed by ANSI Std. Z39.18 Report Documentation Page Form ApprovedOMB No. 0704-0188 Public reporting burden for the collection of information is...by ANSI Std Z39-18 Final Report for AOARD Grant AOARD-124030 “Dynamic dimensionality selection for Bayesian classifier ensembles” March 19, 2015...learning workbench . We compared the two levels of ANDE without either extension, with each in isolation and with both in combination. We also compared

  1. Acquiring Visual Classifiers from Human Imagination

    Science.gov (United States)

    2014-01-01

    Abstract The human mind can remarkably imagine objects that it has never seen, touched, or heard, all in vivid detail. Moti- vated by the desire to... vivid detail. In this paper, we seek to transfer the mental images of what a human can imagine into an object recognition sys- tem. We combine the...Acquiring Visual Classifiers from Human Imagination Carl Vondrick, Hamed Pirsiavash, Aude Oliva, Antonio Torralba Massachusetts Institute of

  2. Robot hands and extravehicular activity

    Science.gov (United States)

    Marcus, Beth

    1987-01-01

    Extravehicular activity (EVA) is crucial to the success of both current and future space operations. As space operations have evolved in complexity so has the demand placed on the EVA crewman. In addition, some NASA requirements for human capabilities at remote or hazardous sites were identified. One of the keys to performing useful EVA tasks is the ability to manipulate objects accurately, quickly and without early or excessive fatigue. The current suit employs a glove which enables the crewman to perform grasping tasks, use tools, turn switches, and perform other tasks for short periods of time. However, the glove's bulk and resistance to motion ultimately causes fatigue. Due to this limitation it may not be possible to meet the productivity requirements that will be placed on the EVA crewman of the future with the current or developmental Extravehicular Mobility Unit (EMU) hardware. In addition, this hardware will not meet the requirements for remote or hazardous operations. In an effort to develop ways for improving crew productivity, a contract was awarded to develop a prototype anthromorphic robotic hand (ARH) for use with an extravehicular space suit. The first step in this program was to perform a a design study which investigated the basic technology required for the development of an ARH to enhance crew performance and productivity. The design study phase of the contract and some additional development work is summarized.

  3. Classifying Variable Sources in SDSS Stripe 82

    Science.gov (United States)

    Willecke Lindberg, Christina

    2018-01-01

    SDSS (Sloan Digital Sky Survey) Stripe 82 is a well-documented and researched region of the sky that does not have all of its ~67,500 variable objects labeled. By collecting data and consulting different catalogs such as the Catalina Survey, we are able to slowly cross-match more objects and add classifications within the Stripe 82 catalog. Such matching is performed either by pairing SDSS identification numbers, or by converting and comparing the coordinates of every object within the Stripe 82 catalog to every object within the classified catalog, such as the Catalina Survey catalog. If matching is performed with converted coordinates, a follow-up check is performed to ascertain that the magnitudes of the paired objects are within a reasonable margin of error and that objects have not been mismatched. Once matches have been confirmed, the light curves of classified objects can then be used to determine features that most effectively separate the different types of variable objects in feature spaces. By classifying variable objects, we can construct a reference for subsequent large research surveys, such as LSST (the Large Synoptic Survey Telescope), that could utilize SDSS data as a training set for its own classifications.

  4. On the generalizability of resting-state fMRI machine learning classifiers.

    Science.gov (United States)

    Huf, Wolfgang; Kalcher, Klaudius; Boubela, Roland N; Rath, Georg; Vecsei, Andreas; Filzmoser, Peter; Moser, Ewald

    2014-01-01

    Machine learning classifiers have become increasingly popular tools to generate single-subject inferences from fMRI data. With this transition from the traditional group level difference investigations to single-subject inference, the application of machine learning methods can be seen as a considerable step forward. Existing studies, however, have given scarce or no information on the generalizability to other subject samples, limiting the use of such published classifiers in other research projects. We conducted a simulation study using publicly available resting-state fMRI data from the 1000 Functional Connectomes and COBRE projects to examine the generalizability of classifiers based on regional homogeneity of resting-state time series. While classification accuracies of up to 0.8 (using sex as the target variable) could be achieved on test datasets drawn from the same study as the training dataset, the generalizability of classifiers to different study samples proved to be limited albeit above chance. This shows that on the one hand a certain amount of generalizability can robustly be expected, but on the other hand this generalizability should not be overestimated. Indeed, this study substantiates the need to include data from several sites in a study investigating machine learning classifiers with the aim of generalizability.

  5. Control System Design of the YWZ Multi-Fingered Dexterous Hand

    Directory of Open Access Journals (Sweden)

    Wenzhen Yang

    2012-07-01

    Full Text Available The manipulation abilities of a multi-fingered dexterous hand, such as motion in real-time, flexibility, grasp stability etc., are largely dependent on its control system. This paper developed a control system for the YWZ dexterous hand, which had five fingers and twenty degrees of freedom (DOFs. All of the finger joints of the YWZ dexterous handwere active joints driven by twenty micro-stepper motors respectively. The main contribution of this paper was that we were able to use stepper motor control to actuate the hand's fingers, thus, increasing the hands feasibility. Based the actuators of the YWZ dexterous hand, we firstly developed an integrated circuit board (ICB, which was the communication hardware between the personal computer (PC and the YWZ dexterous hand. The ICB included a centre controller, twenty driver chips, a USB port and other electrical parts. Then, a communication procedure between the PC and the ICB was developed to send the control commands to actuate the YWZ dexterous hand. Experiment results showed that under this control system, the motion of the YWZ dexterous hand was real-time; both the motion accuracy and the motion stability of the YWZ dexterous hand were reliable. Compared with other types of actuators related to dexterous hands, such as pneumatic servo cylinder, DC servo motor, shape memory alloy etc., experiment results verified that the stepper motors as actuators for the dexterous handswere effective, economical, controllable and stable.

  6. Hands-On Hydrology

    Science.gov (United States)

    Mathews, Catherine E.; Monroe, Louise Nelson

    2004-01-01

    A professional school and university collaboration enables elementary students and their teachers to explore hydrology concepts and realize the beneficial functions of wetlands. Hands-on experiences involve young students in determining water quality at field sites after laying the groundwork with activities related to the hydrologic cycle,…

  7. [Hand and occupational diseases].

    Science.gov (United States)

    Bensefa-Colas, Lynda; Choudat, Dominique

    2013-12-01

    Hand is frequently the site of work accidents or occupational diseases. The musculoskeletal upper limb is the first recognized occupational disease and carpal tunnel syndrome is the most common of them. The most common location of occupational dermatoses is the hand. Their causes are often multifactorial, involving chemical irritants, physical, allergens and endogenous factors (mainly atopic dermatitis). Occupational exposure to microtrauma and iterative use of vibrating tools may also be the cause of hypothenar hammer syndrome and acrosyndromes. The frequent chronicity and functional impairment induced by these attacks can cause lasting disabilities, an inability to source workstation. Occupational physician is a focal point for helping to maintain the position and the prevention of socioprofessional disinsertion. Many pathologies of the hand related to professional activity may benefit from a statement in occupational disease and thus allow the patient to obtain compensation and employment protection. Prevention of occupational hand diseases should be made by all health actors, especially in occupations and industries at risk. Copyright © 2013 Elsevier Masson SAS. All rights reserved.

  8. Wash Your Hands

    Centers for Disease Control (CDC) Podcasts

    2010-03-08

    This video shows kids how to properly wash their hands, one of the most important steps we can take to avoid getting sick and spreading germs to others.  Created: 3/8/2010 by Centers for Disease Control and Prevention (CDC).   Date Released: 3/8/2010.

  9. Rotationally Actuated Prosthetic Hand

    Science.gov (United States)

    Norton, William E.; Belcher, Jewell G., Jr.; Carden, James R.; Vest, Thomas W.

    1991-01-01

    Prosthetic hand attached to end of remaining part of forearm and to upper arm just above elbow. Pincerlike fingers pushed apart to degree depending on rotation of forearm. Simpler in design, simpler to operate, weighs less, and takes up less space.

  10. Moving Hands, Moving Entities

    Science.gov (United States)

    Setti, Annalisa; Borghi, Anna M.; Tessari, Alessia

    2009-01-01

    In this study we investigated with a priming paradigm whether uni and bimanual actions presented as primes differently affected language processing. Animals' (self-moving entities) and plants' (not self-moving entities) names were used as targets. As prime we used grasping hands, presented both as static images and videos. The results showed an…

  11. Clean Hands Count

    Medline Plus

    Full Text Available ... today; no cure tomorrow - Duration: 3:10. World Health Organization 59,337 views 3:10 Healthcare Worker ... Wash Your Hands! - Duration: 4:50. Former Saskatoon Health Region 1,940,773 views 4:50 Handwashing ...

  12. Tropical Diabetic Hand Syndrome

    African Journals Online (AJOL)

    2015 Annals of Medical and Health Sciences Research | Published by Wolters Kluwer - Medknow. 473. Introduction ... diabetes.[2,3] Tropical diabetic hand syndrome is a terminology ... 1Department of Medicine, University of Nigeria Teaching Hospital, Ituku‑Ozalla, 2Department of Medicine, Enugu State. University of ...

  13. Clean Hands Count

    Medline Plus

    Full Text Available ... RichmarkVideos 316 views 3:12 Hand Washing Steps Animation - Duration: 1:38. CreatorOfCastell 157,886 views 1: ... Language: English Location: United States Restricted Mode: Off History Help Loading... Loading... Loading... About Press Copyright Creators ...

  14. Hand Hygiene Saves Lives

    Medline Plus

    Full Text Available ... De Las Manos Salva Vidas Mi Salud, Mi Decisión, Mi Futuro Salud Pregestacional ¿Yo? ¿Tener un Bebé? ¿ ... Living Featured Videos Fight Germs. Wash Your Hands! Making Health Easier: Healthy Snacking in Philadelphia, PA Making ...

  15. Clean Hands Count

    Medline Plus

    Full Text Available ... Hygiene Saves Lives - Duration: 5:12. Centers for Disease Control and Prevention (CDC) 92,523 views 5:12 Hand Washing Steps Animation - Duration: 1:38. CreatorOfCastell 157,813 views 1:38 Loading more suggestions... Show more Language: English Location: United States Restricted Mode: Off History ...

  16. Clean Hands Count

    Medline Plus

    Full Text Available ... today; no cure tomorrow - Duration: 3:10. World Health Organization 61,257 views 3:10 Germ Smart - Wash Your Hands! - Duration: 4:50. Former Saskatoon Health Region 1,984,158 views 4:50 Wash ' ...

  17. Hands-on Humidity.

    Science.gov (United States)

    Pankiewicz, Philip R.

    1992-01-01

    Presents five hands-on activities that allow students to detect, measure, reduce, and eliminate moisture. Students make a humidity detector and a hygrometer, examine the effects of moisture on different substances, calculate the percent of water in a given food, and examine the absorption potential of different desiccants. (MDH)

  18. Clean Hands Count

    Medline Plus

    Full Text Available ... Video - Duration: 5:46. Thomas Jefferson University & Jefferson Health 402,107 views 5:46 WHO: SAVE LIVES - ... today; no cure tomorrow - Duration: 3:10. World Health Organization 61,636 views 3:10 Hand Washing ...

  19. Clean Hands Count

    Medline Plus

    Full Text Available ... Video - Duration: 5:46. Thomas Jefferson University & Jefferson Health 402,935 views 5:46 WHO: SAVE LIVES - ... today; no cure tomorrow - Duration: 3:10. World Health Organization 61,636 views 3:10 Hand Washing ...

  20. Prevalence of hand eczema

    NARCIS (Netherlands)

    Coenraads, Pieter Jan

    1983-01-01

    This thesis describes and discusses the results of a series of investigations into the occurence of skin diseases of the hands and forearms. The problem is approached from an occupational dermatological point ofview and focuses on contacteczema/dermatitis, which is the primary component of the

  1. Objects in Motion

    Science.gov (United States)

    Damonte, Kathleen

    2004-01-01

    One thing scientists study is how objects move. A famous scientist named Sir Isaac Newton (1642-1727) spent a lot of time observing objects in motion and came up with three laws that describe how things move. This explanation only deals with the first of his three laws of motion. Newton's First Law of Motion says that moving objects will continue…

  2. Real-time and wearable functional electrical stimulation system for volitional hand motor function control using the electromyography bridge method

    Directory of Open Access Journals (Sweden)

    Hai-peng Wang

    2017-01-01

    Full Text Available Voluntary participation of hemiplegic patients is crucial for functional electrical stimulation therapy. A wearable functional electrical stimulation system has been proposed for real-time volitional hand motor function control using the electromyography bridge method. Through a series of novel design concepts, including the integration of a detecting circuit and an analog-to-digital converter, a miniaturized functional electrical stimulation circuit technique, a low-power super-regeneration chip for wireless receiving, and two wearable armbands, a prototype system has been established with reduced size, power, and overall cost. Based on wrist joint torque reproduction and classification experiments performed on six healthy subjects, the optimized surface electromyography thresholds and trained logistic regression classifier parameters were statistically chosen to establish wrist and hand motion control with high accuracy. Test results showed that wrist flexion/extension, hand grasp, and finger extension could be reproduced with high accuracy and low latency. This system can build a bridge of information transmission between healthy limbs and paralyzed limbs, effectively improve voluntary participation of hemiplegic patients, and elevate efficiency of rehabilitation training.

  3. Real-time and wearable functional electrical stimulation system for volitional hand motor function control using the electromyography bridge method.

    Science.gov (United States)

    Wang, Hai-Peng; Bi, Zheng-Yang; Zhou, Yang; Zhou, Yu-Xuan; Wang, Zhi-Gong; Lv, Xiao-Ying

    2017-01-01

    Voluntary participation of hemiplegic patients is crucial for functional electrical stimulation therapy. A wearable functional electrical stimulation system has been proposed for real-time volitional hand motor function control using the electromyography bridge method. Through a series of novel design concepts, including the integration of a detecting circuit and an analog-to-digital converter, a miniaturized functional electrical stimulation circuit technique, a low-power super-regeneration chip for wireless receiving, and two wearable armbands, a prototype system has been established with reduced size, power, and overall cost. Based on wrist joint torque reproduction and classification experiments performed on six healthy subjects, the optimized surface electromyography thresholds and trained logistic regression classifier parameters were statistically chosen to establish wrist and hand motion control with high accuracy. Test results showed that wrist flexion/extension, hand grasp, and finger extension could be reproduced with high accuracy and low latency. This system can build a bridge of information transmission between healthy limbs and paralyzed limbs, effectively improve voluntary participation of hemiplegic patients, and elevate efficiency of rehabilitation training.

  4. Real-time and wearable functional electrical stimulation system for volitional hand motor function control using the electromyography bridge method

    Science.gov (United States)

    Wang, Hai-peng; Bi, Zheng-yang; Zhou, Yang; Zhou, Yu-xuan; Wang, Zhi-gong; Lv, Xiao-ying

    2017-01-01

    Voluntary participation of hemiplegic patients is crucial for functional electrical stimulation therapy. A wearable functional electrical stimulation system has been proposed for real-time volitional hand motor function control using the electromyography bridge method. Through a series of novel design concepts, including the integration of a detecting circuit and an analog-to-digital converter, a miniaturized functional electrical stimulation circuit technique, a low-power super-regeneration chip for wireless receiving, and two wearable armbands, a prototype system has been established with reduced size, power, and overall cost. Based on wrist joint torque reproduction and classification experiments performed on six healthy subjects, the optimized surface electromyography thresholds and trained logistic regression classifier parameters were statistically chosen to establish wrist and hand motion control with high accuracy. Test results showed that wrist flexion/extension, hand grasp, and finger extension could be reproduced with high accuracy and low latency. This system can build a bridge of information transmission between healthy limbs and paralyzed limbs, effectively improve voluntary participation of hemiplegic patients, and elevate efficiency of rehabilitation training. PMID:28250759

  5. Topographic Structure from Motion

    Science.gov (United States)

    Fonstad, M. A.; Dietrich, J. T.; Courville, B. C.; Jensen, J.; Carbonneau, P.

    2011-12-01

    The production of high-resolution topographic datasets is of increasing concern and application throughout the geomorphic sciences, and river science is no exception. Consequently, a wide range of topographic measurement methods have evolved. Despite the range of available methods, the production of high resolution, high quality digital elevation models (DEMs) generally requires a significant investment in personnel time, hardware and/or software. However, image-based methods such as digital photogrammetry have steadily been decreasing in costs. Initially developed for the purpose of rapid, inexpensive and easy three dimensional surveys of buildings or small objects, the "structure from motion" photogrammetric approach (SfM) is a purely image based method which could deliver a step-change if transferred to river remote sensing, and requires very little training and is extremely inexpensive. Using the online SfM program Microsoft Photosynth, we have created high-resolution digital elevation models (DEM) of rivers from ordinary photographs produced from a multi-step workflow that takes advantage of free and open source software. This process reconstructs real world scenes from SfM algorithms based on the derived positions of the photographs in three-dimensional space. One of the products of the SfM process is a three-dimensional point cloud of features present in the input photographs. This point cloud can be georeferenced from a small number of ground control points collected via GPS in the field. The georeferenced point cloud can then be used to create a variety of digital elevation model products. Among several study sites, we examine the applicability of SfM in the Pedernales River in Texas (USA), where several hundred images taken from a hand-held helikite are used to produce DEMs of the fluvial topographic environment. This test shows that SfM and low-altitude platforms can produce point clouds with point densities considerably better than airborne LiDAR, with

  6. Hand problems among endourologists.

    Science.gov (United States)

    Healy, Kelly A; Pak, Raymond W; Cleary, Ryan C; Colon-Herdman, Arturo; Bagley, Demetrius H

    2011-12-01

    Endourology has evolved rapidly for the management of both benign and malignant disease of the upper urinary tract. Limited data exist, however, on the occupational hazards posed by complex endourologic procedures. The aim of this study was to determine the prevalence and possible causes of hand problems among endourologists who routinely perform flexible ureteroscopy compared with controls. An online computer survey targeted members of the Endourological Society and psychiatrists in academic and community settings. A total of 600 endourologists and 578 psychiatrists were contacted by e-mail. Invited physicians were queried regarding their practice settings and symptoms of hand pain, neuropathy, and/or discomfort. Survey responses were obtained from 122 (20.3%) endourologists and 74 (12.8%) psychiatrists. Of endourologists, 61% were in an academic setting and 70% devoted their practice to endourology. Endourologists were in practice for a mean 13 years, performing 4.5 ureteroscopic cases per week with a mean operative time of 50 minutes. Hand/wrist problems were reported by 39 (32%) endourologists compared with 14 (19%) psychiatrists (P=0.0486, relative risk [RR]=1.69). Surgeons who preferred counterintuitive ureteroscope deflection were significantly more likely to have problems (56%) compared with intuitive users (27%) (RR 2.07, P=0.0139) or those with no preference (26%) (RR 2.15, P=0.0451). Overall, most respondents (85%) with hand/wrist problems needed either medical or surgical intervention. Hand and wrist problems are very common among endourologists. Future studies are needed to develop more ergonomic platforms and thereby reduce the endourologist's exposure to these occupational hazards.

  7. SOPHIA: Soft Orthotic Physiotherapy Hand Interactive Aid

    Directory of Open Access Journals (Sweden)

    Alistair C. McConnell

    2017-06-01

    Full Text Available This work describes the design, fabrication, and initial testing of a Soft Orthotic Physiotherapy Hand Interactive Aid (SOPHIA for stroke rehabilitation. SOPHIA consists of (1 a soft robotic exoskeleton, (2 a microcontroller-based control system driven by a brain–machine interface (BMI, and (3 a sensorized glove for passive rehabilitation. In contrast to other rehabilitation devices, SOPHIA is the first modular prototype of a rehabilitation system that is capable of three tasks: aiding extension based assistive rehabilitation, monitoring patient exercises, and guiding passive rehabilitation. Our results show that this prototype of the device is capable of helping healthy subjects to open their hand. Finger extension is triggered by a command from the BMI, while using a variety of sensors to ensure a safe motion. All data gathered from the device will be used to guide further improvements to the prototype, aiming at developing specifications for the next generation device, which could be used in future clinical trials.

  8. Performance Comparison Between FEDERICA Hand and LARM Hand

    Directory of Open Access Journals (Sweden)

    Giuseppe Carbone

    2015-07-01

    Full Text Available This paper describes two robotic hands that have been developed at University Federico II of Naples and at the University of Cassino. FEDERICA Hand and LARM Hand are described in terms of design and operational features. In particular, careful attention is paid to the differences between the above-mentioned hands in terms of transmission systems. FEDERICA Hand uses tendons and pulleys to drive phalanxes, while LARM Hand uses cross four-bar linkages. Results of experimental tests are reported to show how key design issues affect each robotic hand's performance.

  9. Rolling Shutter Motion Deblurring

    KAUST Repository

    Su, Shuochen

    2015-06-07

    Although motion blur and rolling shutter deformations are closely coupled artifacts in images taken with CMOS image sensors, the two phenomena have so far mostly been treated separately, with deblurring algorithms being unable to handle rolling shutter wobble, and rolling shutter algorithms being incapable of dealing with motion blur. We propose an approach that delivers sharp and undis torted output given a single rolling shutter motion blurred image. The key to achieving this is a global modeling of the camera motion trajectory, which enables each scanline of the image to be deblurred with the corresponding motion segment. We show the results of the proposed framework through experiments on synthetic and real data.

  10. Waking up the alien hand: rubber hand illusion interacts with alien hand syndrome.

    Science.gov (United States)

    Schaefer, Michael; Heinze, Hans-Jochen; Galazky, Imke

    2013-08-01

    It has been shown that combinations of visual, tactile, and proprioceptive manipulations in healthy subjects may elicit illusory feelings of embodiment (the rubber hand illusion and the somatic rubber hand illusion). We report a case of alien hand syndrome in which the alien hand interacted with the somatic rubber hand illusion to provoke a very strong movement of the alien hand. This effect could be reliably replicated at every application of the experimental procedure. Thus, the illusion seemed to wake up the alien hand. The results demonstrate that the alien hand syndrome can be affected by experimentally induced bodily illusions, which are based on the manipulation of touch and proprioceptive information.

  11. Smoothing Motion Estimates for Radar Motion Compensation.

    Energy Technology Data Exchange (ETDEWEB)

    Doerry, Armin W. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

    2017-07-01

    Simple motion models for complex motion environments are often not adequate for keeping radar data coherent. Eve n perfect motion samples appli ed to imperfect models may lead to interim calculations e xhibiting errors that lead to degraded processing results. Herein we discuss a specific i ssue involving calculating motion for groups of pulses, with measurements only available at pulse-group boundaries. - 4 - Acknowledgements This report was funded by General A tomics Aeronautical Systems, Inc. (GA-ASI) Mission Systems under Cooperative Re search and Development Agre ement (CRADA) SC08/01749 between Sandia National Laboratories and GA-ASI. General Atomics Aeronautical Systems, Inc. (GA-ASI), an affilia te of privately-held General Atomics, is a leading manufacturer of Remotely Piloted Aircraft (RPA) systems, radars, and electro-optic and rel ated mission systems, includin g the Predator(r)/Gray Eagle(r)-series and Lynx(r) Multi-mode Radar.

  12. Effectiveness of an audible reminder on hand hygiene adherence.

    Science.gov (United States)

    Fakhry, Morkos; Hanna, George B; Anderson, Oliver; Holmes, Alison; Nathwani, Dinesh

    2012-05-01

    Multimodal interventions aim to improve health care workers' adherence to hand hygiene guidelines. Visitors are not primarily targeted, but may spread epidemic infections. Effective interventions that improve the adherence of visitors to hand hygiene guidelines are needed to prevent the transmission of epidemic infections to or from health care environments. An electronic motion sensor-triggered audible hand hygiene reminder was installed at hospital ward entrances. An 8-month preinterventional and postinterventional study was carried out to measure the adherence of hospital visitors and staff to hand hygiene guidelines. Overall hand hygiene adherence increased from 7.6% to 49.9% (P staff increased immediately from 10.6% to 63.7% and from 5.3% to 34.8%, respectively (P staff (P staff (P = .341). The electronic motion sensor-triggered audible reminder immediately and significantly improved and sustained greater adherence of hospital visitors and clinical staff to hand hygiene guidelines. This is an effective addition to multimodal hand hygiene interventions and may help control epidemic infections. Copyright © 2012 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Mosby, Inc. All rights reserved.

  13. Activity Recognition in Egocentric video using SVM, kNN and Combined SVMkNN Classifiers

    Science.gov (United States)

    Sanal Kumar, K. P.; Bhavani, R., Dr.

    2017-08-01

    Egocentric vision is a unique perspective in computer vision which is human centric. The recognition of egocentric actions is a challenging task which helps in assisting elderly people, disabled patients and so on. In this work, life logging activity videos are taken as input. There are 2 categories, first one is the top level and second one is second level. Here, the recognition is done using the features like Histogram of Oriented Gradients (HOG), Motion Boundary Histogram (MBH) and Trajectory. The features are fused together and it acts as a single feature. The extracted features are reduced using Principal Component Analysis (PCA). The features that are reduced are provided as input to the classifiers like Support Vector Machine (SVM), k nearest neighbor (kNN) and combined Support Vector Machine (SVM) and k Nearest Neighbor (kNN) (combined SVMkNN). These classifiers are evaluated and the combined SVMkNN provided better results than other classifiers in the literature.

  14. The apparent mass and mechanical impedance of the hand and the transmission of vibration to the fingers, hand, and arm

    Science.gov (United States)

    Concettoni, Enrico; Griffin, Michael

    2009-08-01

    Although hand-transmitted vibration causes injury and disease, most often evident in the fingers, the biodynamic responses of the fingers, hand, and arm are not yet well understood. A method of investigating the motion of the entire finger-hand-arm system, based on the simultaneous measurement of the biodynamic response at the driving point and the transmissibility to many points on the finger-hand-arm system, is illustrated. Fourteen male subjects participated in an experiment in which they pushed down on a vertically vibrating metal plate with their right forearm pronated and their elbow bent at 90°. The apparent mass and mechanical impedance of the finger-hand-arm system were measured for each of seven different contact conditions between the plate and the fingers and hand. Simultaneously, the vibration of the fingers, hand, and arm was measured at 41 locations using a scanning laser Doppler vibrometer. Transmissibilities showed how the vibration was transmitted along the arm and allowed the construction of spectral operating deflection shapes showing the vibration pattern of the fingers, hand, and arm for each of the seven contact conditions. The vibration patterns at critical frequencies for each contact condition have been used to explain features in the driving point biodynamic responses and the vibration behaviour of the hand-arm system. Spectral operating deflection shapes for the upper limb assist the interpretation of driving point biodynamic responses and help to advance understanding required to predict, explain, and control the various effects of hand-transmitted vibration.

  15. Fully embedded myoelectric control for a wearable robotic hand orthosis.

    Science.gov (United States)

    Ryser, Franziska; Butzer, Tobias; Held, Jeremia P; Lambercy, Olivier; Gassert, Roger

    2017-07-01

    To prevent learned non-use of the affected hand in chronic stroke survivors, rehabilitative training should be continued after discharge from the hospital. Robotic hand orthoses are a promising approach for home rehabilitation. When combined with intuitive control based on electromyography, the therapy outcome can be improved. However, such systems often require extensive cabling, experience in electrode placement and connection to external computers. This paper presents the framework for a stand-alone, fully wearable and real-time myoelectric intention detection system based on the Myo armband. The hard and software for real-time gesture classification were developed and combined with a routine to train and customize the classifier, leading to a unique ease of use. The system including training of the classifier can be set up within less than one minute. Results demonstrated that: (1) the proposed algorithm can classify five gestures with an accuracy of 98%, (2) the final system can online classify three gestures with an accuracy of 94.3% and, in a preliminary test, (3) classify three gestures from data acquired from mildly to severely impaired stroke survivors with an accuracy of over 78.8%. These results highlight the potential of the presented system for electromyography-based intention detection for stroke survivors and, with the integration of the system into a robotic hand orthosis, the potential for a wearable platform for all day robot-assisted home rehabilitation.

  16. Structural motion engineering

    CERN Document Server

    Connor, Jerome

    2014-01-01

    This innovative volume provides a systematic treatment of the basic concepts and computational procedures for structural motion design and engineering for civil installations. The authors illustrate the application of motion control to a wide spectrum of buildings through many examples. Topics covered include optimal stiffness distributions for building-type structures, the role of damping in controlling motion, tuned mass dampers, base isolation systems, linear control, and nonlinear control. The book's primary objective is the satisfaction of motion-related design requirements, such as restrictions on displacement and acceleration. The book is ideal for practicing engineers and graduate students. This book also: ·         Broadens practitioners' understanding of structural motion control, the enabling technology for motion-based design ·         Provides readers the tools to satisfy requirements of modern, ultra-high strength materials that lack corresponding stiffness, where the motion re...

  17. Natural-pose hand detection in low-resolution images

    Directory of Open Access Journals (Sweden)

    Nyan Bo Bo1

    2009-07-01

    Full Text Available Robust real-time hand detection and tracking in video sequences would enable many applications in areas as diverse ashuman-computer interaction, robotics, security and surveillance, and sign language-based systems. In this paper, we introducea new approach for detecting human hands that works on single, cluttered, low-resolution images. Our prototype system, whichis primarily intended for security applications in which the images are noisy and low-resolution, is able to detect hands as smallas 2424 pixels in cluttered scenes. The system uses grayscale appearance information to classify image sub-windows as eithercontaining or not containing a human hand very rapidly at the cost of a high false positive rate. To improve on the false positiverate of the main classifier without affecting its detection rate, we introduce a post-processor system that utilizes the geometricproperties of skin color blobs. When we test our detector on a test image set containing 106 hands, 92 of those hands aredetected (86.8% detection rate, with an average false positive rate of 1.19 false positive detections per image. The rapiddetection speed, the high detection rate of 86.8%, and the low false positive rate together ensure that our system is useable asthe main detector in a diverse variety of applications requiring robust hand detection and tracking in low-resolution, clutteredscenes.

  18. Space Suit Glove Pressure Garment Metacarpal Joint and Robotic Hand Analysis Project

    Data.gov (United States)

    National Aeronautics and Space Administration — Spacesuit glove pressure garments have been a design challenge for NASA since the inception of spacesuits. The human hand demands a complex range of motions, a close...

  19. Hailstone classifier based on Rough Set Theory

    Science.gov (United States)

    Wan, Huisong; Jiang, Shuming; Wei, Zhiqiang; Li, Jian; Li, Fengjiao

    2017-09-01

    The Rough Set Theory was used for the construction of the hailstone classifier. Firstly, the database of the radar image feature was constructed. It included transforming the base data reflected by the Doppler radar into the bitmap format which can be seen. Then through the image processing, the color, texture, shape and other dimensional features should be extracted and saved as the characteristic database to provide data support for the follow-up work. Secondly, Through the Rough Set Theory, a machine for hailstone classifications can be built to achieve the hailstone samples’ auto-classification.

  20. Gearbox Condition Monitoring Using Advanced Classifiers

    Directory of Open Access Journals (Sweden)

    P. Večeř

    2010-01-01

    Full Text Available New efficient and reliable methods for gearbox diagnostics are needed in automotive industry because of growing demand for production quality. This paper presents the application of two different classifiers for gearbox diagnostics – Kohonen Neural Networks and the Adaptive-Network-based Fuzzy Interface System (ANFIS. Two different practical applications are presented. In the first application, the tested gearboxes are separated into two classes according to their condition indicators. In the second example, ANFIS is applied to label the tested gearboxes with a Quality Index according to the condition indicators. In both applications, the condition indicators were computed from the vibration of the gearbox housing. 

  1. Design of rehabilitation robot hand for fingers CPM training

    Science.gov (United States)

    Zhou, Hongfu; Chan, T. W.; Tong, K. Y.; Kwong, K. K.; Yao, Xifan

    2008-10-01

    This paper presents a low-cost prototype for rehabilitation robot aide patient do hands CPM (continuous passive motion) training. The design of the prototype is based on the principle of Rutgers Master II glove, but it is better in performance for more improvement made. In the design, it uses linear motors to replace pneumatic actuators to make the product more portable and mobile. It increases finger training range to 180 degree for the full range training of hand finger holding and extension. Also the prototype can not only be wearing on palm and fore arm do training for face to face with finger move together, but also be put in the opposite hand glove wear direction for hand rehabilitation training. During the research, Solidworks is used as the tool for mechanical design and movement simulation. It proved through experiment that the prototype made in the research is appropriate for hand do CPM training.

  2. Alien Hand Syndrome.

    Science.gov (United States)

    Hassan, Anhar; Josephs, Keith A

    2016-08-01

    Alien hand syndrome (AHS) is a rare disorder of involuntary limb movement together with a sense of loss of limb ownership. It most commonly affects the hand, but can occur in the leg. The anterior (frontal, callosal) and posterior variants are recognized, with distinguishing clinical features and anatomical lesions. Initial descriptions were attributed to stroke and neurosurgical operations, but neurodegenerative causes are now recognized as most common. Structural and functional imaging and clinical studies have implicated the supplementary motor area, pre-supplementary motor area, and their network connections in the frontal variant of AHS, and the inferior parietal lobule and connections in the posterior variant. Several theories are proposed to explain the pathophysiology. Herein, we review the literature to update advances in the understanding of the classification, pathophysiology, etiology, and treatment of AHS.

  3. Deep learning-based artificial vision for grasp classification in myoelectric hands.

    Science.gov (United States)

    Ghazaei, Ghazal; Alameer, Ali; Degenaar, Patrick; Morgan, Graham; Nazarpour, Kianoush

    2017-06-01

    Computer vision-based assistive technology solutions can revolutionise the quality of care for people with sensorimotor disorders. The goal of this work was to enable trans-radial amputees to use a simple, yet efficient, computer vision system to grasp and move common household objects with a two-channel myoelectric prosthetic hand. We developed a deep learning-based artificial vision system to augment the grasp functionality of a commercial prosthesis. Our main conceptual novelty is that we classify objects with regards to the grasp pattern without explicitly identifying them or measuring their dimensions. A convolutional neural network (CNN) structure was trained with images of over 500 graspable objects. For each object, 72 images, at [Formula: see text] intervals, were available. Objects were categorised into four grasp classes, namely: pinch, tripod, palmar wrist neutral and palmar wrist pronated. The CNN setting was first tuned and tested offline and then in realtime with objects or object views that were not included in the training set. The classification accuracy in the offline tests reached [Formula: see text] for the seen and [Formula: see text] for the novel objects; reflecting the generalisability of grasp classification. We then implemented the proposed framework in realtime on a standard laptop computer and achieved an overall score of [Formula: see text] in classifying a set of novel as well as seen but randomly-rotated objects. Finally, the system was tested with two trans-radial amputee volunteers controlling an i-limb UltraTM prosthetic hand and a motion controlTM prosthetic wrist; augmented with a webcam. After training, subjects successfully picked up and moved the target objects with an overall success of up to [Formula: see text]. In addition, we show that with training, subjects' performance improved in terms of time required to accomplish a block of 24 trials despite a decreasing level of visual feedback. The proposed design constitutes a

  4. Deep learning-based artificial vision for grasp classification in myoelectric hands

    Science.gov (United States)

    Ghazaei, Ghazal; Alameer, Ali; Degenaar, Patrick; Morgan, Graham; Nazarpour, Kianoush

    2017-06-01

    Objective. Computer vision-based assistive technology solutions can revolutionise the quality of care for people with sensorimotor disorders. The goal of this work was to enable trans-radial amputees to use a simple, yet efficient, computer vision system to grasp and move common household objects with a two-channel myoelectric prosthetic hand. Approach. We developed a deep learning-based artificial vision system to augment the grasp functionality of a commercial prosthesis. Our main conceptual novelty is that we classify objects with regards to the grasp pattern without explicitly identifying them or measuring their dimensions. A convolutional neural network (CNN) structure was trained with images of over 500 graspable objects. For each object, 72 images, at {{5}\\circ} intervals, were available. Objects were categorised into four grasp classes, namely: pinch, tripod, palmar wrist neutral and palmar wrist pronated. The CNN setting was first tuned and tested offline and then in realtime with objects or object views that were not included in the training set. Main results. The classification accuracy in the offline tests reached 85 % for the seen and 75 % for the novel objects; reflecting the generalisability of grasp classification. We then implemented the proposed framework in realtime on a standard laptop computer and achieved an overall score of 84 % in classifying a set of novel as well as seen but randomly-rotated objects. Finally, the system was tested with two trans-radial amputee volunteers controlling an i-limb UltraTM prosthetic hand and a motion controlTM prosthetic wrist; augmented with a webcam. After training, subjects successfully picked up and moved the target objects with an overall success of up to 88 % . In addition, we show that with training, subjects’ performance improved in terms of time required to accomplish a block of 24 trials despite a decreasing level of visual feedback. Significance. The proposed design constitutes a substantial

  5. Genetic influences on hand osteoarthritis in Finnish women--a replication study of candidate genes

    National Research Council Canada - National Science Library

    Hämäläinen, Satu; Solovieva, Svetlana; Vehmas, Tapio; Luoma, Katariina; Leino-Arjas, Päivi; Hirvonen, Ari

    2014-01-01

    .... We examined the bilateral hand radiographs of 542 occupationally active Finnish female dentists and teachers aged 45 to 63 and classified them according to the presence of OA by using reference images...

  6. Hand chemical burns.

    Science.gov (United States)

    Robinson, Elliot P; Chhabra, A Bobby

    2015-03-01

    There is a vast and ever-expanding variety of potentially harmful chemicals in the military, industrial, and domestic landscape. Chemical burns make up a small proportion of all skin burns, yet they can cause substantial morbidity and mortality. Additionally, the hand and upper extremity are the most frequently involved parts of the body in chemical burns, and therefore these injuries may lead to severe temporary or permanent loss of function. Despite this fact, discussion of the care of these injuries is sparse in the hand surgery literature. Although most chemical burns require only first response and wound care, some require the attention of a specialist for surgical debridement and, occasionally, skin coverage and reconstruction. Exposure to certain chemicals carries the risk of substantial systemic toxicity and even mortality. Understanding the difference between thermal and chemical burns, as well as special considerations for specific compounds, will improve patient treatment outcomes. Copyright © 2015 American Society for Surgery of the Hand. Published by Elsevier Inc. All rights reserved.

  7. Quantitative analysis of facial motion components: anatomic and nonanatomic motion in normal persons and in patients with complete facial paralysis.

    Science.gov (United States)

    Bajaj-Luthra, A; Mueller, T; Johnson, P C

    1997-06-01

    The maximal static response assay of facial motion, described in 1994, enables the simultaneous measurement of multiple facial motions by tracking the positions of specific facial points. While the maximal static response assay provides accurate measurement of facial motion, the analysis of these data lacks the simplicity of a single-number scale such as the House-Brackmann system, a subjective scale traditionally used to classify facial function. The purpose of this study was to develop a simplified numerical index capable of summarizing the data generated by the maximal static response assay in a clinically meaningful way. We also wanted to develop a method whereby only anatomic motion or nonanatomic motion in the paralyzed face could be quantitated. Anatomic motion is the motion of the specific facial points studied by the maximal static response assay that can be attributed solely to the pull of the regional facial muscles that govern the movement of those points. Nonanatomic motion is motion that is secondary to the pull of the unaffected contralateral muscles that is transmitted to the paralyzed hemiface. Thirty-four patients with complete facial paralysis were studied. The maximal static response assay was performed on all patients on presentation to the Facial Nerve Center at the University of Pittsburgh Medical Center or after development of complete facial palsy postoperatively. The data from these patients were compared with maximal static response assay data from 26 unaffected controls. The anatomic index of facial motion and the nonanatomic index of facial motion were calculated for all study participants. The anatomic index of facial motion measures anatomic facial motion, and the nonanatomic index of facial motion measures nonanatomic facial motion. To calculate the anatomic index of facial motion, the vector magnitudes of the supraorbital, infraorbital, and modiolar motions during brow lift, eye closure, and smile are summed. The anatomic index of

  8. Human-inspired feedback synergies for environmental interaction with a dexterous robotic hand.

    Science.gov (United States)

    Kent, Benjamin A; Engeberg, Erik D

    2014-11-07

    Effortless control of the human hand is mediated by the physical and neural couplings inherent in the structure of the hand. This concept was explored for environmental interaction tasks with the human hand, and a novel human-inspired feedback synergy (HFS) controller was developed for a robotic hand which synchronized position and force feedback signals to mimic observed human hand motions. This was achieved by first recording the finger joint motion profiles of human test subjects, where it was observed that the subjects would extend their fingers to maintain a natural hand posture when interacting with different surfaces. The resulting human joint angle data were used as inspiration to develop the HFS controller for the anthropomorphic robotic hand, which incorporated finger abduction and force feedback in the control laws for finger extension. Experimental results showed that by projecting a broader view of the tasks at hand to each specific joint, the HFS controller produced hand motion profiles that closely mimic the observed human responses and allowed the robotic manipulator to interact with the surfaces while maintaining a natural hand posture. Additionally, the HFS controller enabled the robotic hand to autonomously traverse vertical step discontinuities without prior knowledge of the environment, visual feedback, or traditional trajectory planning techniques.

  9. A systematic comparison of supervised classifiers.

    Science.gov (United States)

    Amancio, Diego Raphael; Comin, Cesar Henrique; Casanova, Dalcimar; Travieso, Gonzalo; Bruno, Odemir Martinez; Rodrigues, Francisco Aparecido; Costa, Luciano da Fontoura

    2014-01-01

    Pattern recognition has been employed in a myriad of industrial, commercial and academic applications. Many techniques have been devised to tackle such a diversity of applications. Despite the long tradition of pattern recognition research, there is no technique that yields the best classification in all scenarios. Therefore, as many techniques as possible should be considered in high accuracy applications. Typical related works either focus on the performance of a given algorithm or compare various classification methods. In many occasions, however, researchers who are not experts in the field of machine learning have to deal with practical classification tasks without an in-depth knowledge about the underlying parameters. Actually, the adequate choice of classifiers and parameters in such practical circumstances constitutes a long-standing problem and is one of the subjects of the current paper. We carried out a performance study of nine well-known classifiers implemented in the Weka framework and compared the influence of the parameter configurations on the accuracy. The default configuration of parameters in Weka was found to provide near optimal performance for most cases, not including methods such as the support vector machine (SVM). In addition, the k-nearest neighbor method frequently allowed the best accuracy. In certain conditions, it was possible to improve the quality of SVM by more than 20% with respect to their default parameter configuration.

  10. A systematic comparison of supervised classifiers.

    Directory of Open Access Journals (Sweden)

    Diego Raphael Amancio

    Full Text Available Pattern recognition has been employed in a myriad of industrial, commercial and academic applications. Many techniques have been devised to tackle such a diversity of applications. Despite the long tradition of pattern recognition research, there is no technique that yields the best classification in all scenarios. Therefore, as many techniques as possible should be considered in high accuracy applications. Typical related works either focus on the performance of a given algorithm or compare various classification methods. In many occasions, however, researchers who are not experts in the field of machine learning have to deal with practical classification tasks without an in-depth knowledge about the underlying parameters. Actually, the adequate choice of classifiers and parameters in such practical circumstances constitutes a long-standing problem and is one of the subjects of the current paper. We carried out a performance study of nine well-known classifiers implemented in the Weka framework and compared the influence of the parameter configurations on the accuracy. The default configuration of parameters in Weka was found to provide near optimal performance for most cases, not including methods such as the support vector machine (SVM. In addition, the k-nearest neighbor method frequently allowed the best accuracy. In certain conditions, it was possible to improve the quality of SVM by more than 20% with respect to their default parameter configuration.

  11. Classifying Coding DNA with Nucleotide Statistics

    Directory of Open Access Journals (Sweden)

    Nicolas Carels

    2009-10-01

    Full Text Available In this report, we compared the success rate of classification of coding sequences (CDS vs. introns by Codon Structure Factor (CSF and by a method that we called Universal Feature Method (UFM. UFM is based on the scoring of purine bias (Rrr and stop codon frequency. We show that the success rate of CDS/intron classification by UFM is higher than by CSF. UFM classifies ORFs as coding or non-coding through a score based on (i the stop codon distribution, (ii the product of purine probabilities in the three positions of nucleotide triplets, (iii the product of Cytosine (C, Guanine (G, and Adenine (A probabilities in the 1st, 2nd, and 3rd positions of triplets, respectively, (iv the probabilities of G in 1st and 2nd position of triplets and (v the distance of their GC3 vs. GC2 levels to the regression line of the universal correlation. More than 80% of CDSs (true positives of Homo sapiens (>250 bp, Drosophila melanogaster (>250 bp and Arabidopsis thaliana (>200 bp are successfully classified with a false positive rate lower or equal to 5%. The method releases coding sequences in their coding strand and coding frame, which allows their automatic translation into protein sequences with 95% confidence. The method is a natural consequence of the compositional bias of nucleotides in coding sequences.

  12. Learning ensemble classifiers for diabetic retinopathy assessment.

    Science.gov (United States)

    Saleh, Emran; Błaszczyński, Jerzy; Moreno, Antonio; Valls, Aida; Romero-Aroca, Pedro; de la Riva-Fernández, Sofia; Słowiński, Roman

    2017-10-06

    Diabetic retinopathy is one of the most common comorbidities of diabetes. Unfortunately, the recommended annual screening of the eye fundus of diabetic patients is too resource-consuming. Therefore, it is necessary to develop tools that may help doctors to determine the risk of each patient to attain this condition, so that patients with a low risk may be screened less frequently and the use of resources can be improved. This paper explores the use of two kinds of ensemble classifiers learned from data: fuzzy random forest and dominance-based rough set balanced rule ensemble. These classifiers use a small set of attributes which represent main risk factors to determine whether a patient is in risk of developing diabetic retinopathy. The levels of specificity and sensitivity obtained in the presented study are over 80%. This study is thus a first successful step towards the construction of a personalized decision support system that could help physicians in daily clinical practice. Copyright © 2017 Elsevier B.V. All rights reserved.

  13. Fcoused crawler bused on Bayesian classifier

    Directory of Open Access Journals (Sweden)

    JIA Haijun

    2013-12-01

    Full Text Available With the rapid development of the network,its information resources are increasingly large and faced a huge amount of information database,search engine plays an important role.Focused crawling technique,as the main core portion of search engine,is used to calculate the relationship between search results and search topics,which is called correlation.Normally,focused crawling method is used only to calculate the correlation between web content and search related topics.In this paper,focused crawling method is used to compute the importance of links through link content and anchor text,then Bayesian classifier is used to classify the links,and finally cosine similarity function is used to calculate the relevance of web pages.If the correlation value is greater than the threshold the page is considered to be associated with the predetermined topics,otherwise not relevant.Experimental results show that a high accuracy can be obtained by using the proposed crawling approach.

  14. Grasp posture alters visual processing biases near the hands

    Science.gov (United States)

    Thomas, Laura E.

    2015-01-01

    Observers experience biases in visual processing for objects within easy reach of their hands that may assist them in evaluating items that are candidates for action. I investigated the hypothesis that hand postures affording different types of actions differentially bias vision. Across three experiments, participants performed global motion detection and global form perception tasks while their hands were positioned a) near the display in a posture affording a power grasp, b) near the display in a posture affording a precision grasp, or c) in their laps. Although the power grasp posture facilitated performance on the motion task, the precision grasp posture instead facilitated performance on the form task. These results suggest that the visual system weights processing based on an observer’s current affordances for specific actions: fast and forceful power grasps enhance temporal sensitivity, while detail-oriented precision grasps enhance spatial sensitivity. PMID:25862545

  15. Understanding Oceanographic Contribution to Polar Motion

    Science.gov (United States)

    Kwon, S. R.; Chambers, D. P.

    2013-12-01

    Many studies have shown that mass redistribution within the oceans and ocean currents are significant contributors to polar motion. Chambers and Willis (2009) have previously identified a significant low-frequency mass exchange between the Pacific and Indo-Atlantic Oceans. Here, we examine how much this large-scale mass exchange contributes to polar motion by using ocean bottom pressure data from a model for 1993 to 2011. We find that the interbasin exchange of mass explains nearly 53% of the y-component of polar motion driven by ocean mass variations, but less than 3% the x-component. On the other hand, redistribution of mass within the Pacific alone explains nearly 60% of the variance in the x-component driven by ocean mass variations. The remainder of the variance is explained by redistribution within the Indo-Atlantic Ocean. The motion component of polar motion based on currents from the same model was also calculated using only data from areas poleward of of 30°S to the contribution of the Antarctic Circumpolar Current on polar motion.

  16. An improved robust hand-eye calibration for endoscopy navigation system

    Science.gov (United States)

    He, Wei; Kang, Kumsok; Li, Yanfang; Shi, Weili; Miao, Yu; He, Fei; Yan, Fei; Yang, Huamin; Zhang, Huimao; Mori, Kensaku; Jiang, Zhengang

    2016-03-01

    Endoscopy is widely used in clinical application, and surgical navigation system is an extremely important way to enhance the safety of endoscopy. The key to improve the accuracy of the navigation system is to solve the positional relationship between camera and tracking marker precisely. The problem can be solved by the hand-eye calibration method based on dual quaternions. However, because of the tracking error and the limited motion of the endoscope, the sample motions may contain some incomplete motion samples. Those motions will cause the algorithm unstable and inaccurate. An advanced selection rule for sample motions is proposed in this paper to improve the stability and accuracy of the methods based on dual quaternion. By setting the motion filter to filter out the incomplete motion samples, finally, high precision and robust result is achieved. The experimental results show that the accuracy and stability of camera registration have been effectively improved by selecting sample motion data automatically.

  17. 36 CFR 1256.46 - National security-classified information.

    Science.gov (United States)

    2010-07-01

    ... 36 Parks, Forests, and Public Property 3 2010-07-01 2010-07-01 false National security-classified... Restrictions § 1256.46 National security-classified information. In accordance with 5 U.S.C. 552(b)(1), NARA... properly classified under the provisions of the pertinent Executive Order on Classified National Security...

  18. Classifier Calibration for Multi-Domain Sentiment Classification.

    NARCIS (Netherlands)

    Raaijmakers, S.A.; Kraaij, W.

    2010-01-01

    Textual sentiment classifiers classify texts into a fixed number of affective classes, such as positive, negative or neutral sentiment, or subjective versus objective information. It has been observed that sentiment classifiers suffer from a lack of generalization capability: a classifier trained on

  19. Motion cues that make an impression: Predicting perceived personality by minimal motion information.

    Science.gov (United States)

    Koppensteiner, Markus

    2013-11-01

    The current study presents a methodology to analyze first impressions on the basis of minimal motion information. In order to test the applicability of the approach brief silent video clips of 40 speakers were presented to independent observers (i.e., did not know speakers) who rated them on measures of the Big Five personality traits. The body movements of the speakers were then captured by placing landmarks on the speakers' forehead, one shoulder and the hands. Analysis revealed that observers ascribe extraversion to variations in the speakers' overall activity, emotional stability to the movements' relative velocity, and variation in motion direction to openness. Although ratings of openness and conscientiousness were related to biographical data of the speakers (i.e., measures of career progress), measures of body motion failed to provide similar results. In conclusion, analysis of motion behavior might be done on the basis of a small set of landmarks that seem to capture important parts of relevant nonverbal information.

  20. Hand function in rheumatic diseases: patient and physician evaluations.

    Science.gov (United States)

    López López, Carlos Omar; Alvarez-Hernández, Everardo; Medrano Ramirez, Gabriel; Montes Castillo, Ma Luz; Hernández-Díaz, Cristina; Ventura Rios, Lucio; Arreguin Lopez, Roberto; Vázquez-Mellado, Janitzia

    2014-11-01

    Rheumatic diseases have repercussions in hand function. The m-SACRAH (modified Score for the Assessment and quantification of Chronic Rheumatoid Affections of the Hands) questionnaire evaluates hand function according to the patient's opinion. Our aim was to look for the clinical and para-clinical variables that correlate with m-SACRAH in rheumatic diseases. Consecutive patients with diagnoses of rheumatoid arthritis (RA), osteoarthritis (OA), gout, and systemic sclerosis (SS) with hand involvement and who agreed to participate, answered the m-SACRAH and Health Assessment Questionnaire Disability Index (HAQ-DI) and underwent blinded and independent rheumatologist and physiatrist evaluations. Nerve conduction studies (NCS) and hand ultrasonography (USG) were performed. Spearman's correlation and the Mann-Whitney U-test. Forty patients were included. There were 72% women and mean age of 49.25 ± 14.2 years. According to m-SACRAH patients were dived into two groups (mild vs. moderate-severe), only the number limited to motion joints were different among them (median 2 vs. 8 P = 0.036). Patients' perspective variables had a good correlation (HAQ-DI/mSACRAH: r = 0.43, P hand function with physiatrist evaluations: passive range of motion (r = -0.49, P = 0.001), sum of affected pinches (r = 0.66, P = 0.001), limited to motion joints (r = 0.34, P < 0.05) and palm-finger distance (r = 0.50, P = 0.05). Regarding para-clinical evaluations, only tenosynovitis by ultrasonography correlated with HAQ-Di (r = 0.357, P < 0.05). Patients' perspectives correlated with the number of limited motion joints but with none of the other physicians' and para-clinical evaluations. The patients' opinion about their function should play a major role in their management. © 2014 Asia Pacific League of Associations for Rheumatology and Wiley Publishing Asia Pty Ltd.

  1. Golf hand prosthesis performance of transradial amputees.

    Science.gov (United States)

    Carey, Stephanie L; Wernke, Matthew M; Lura, Derek J; Kahle, Jason T; Dubey, Rajiv V; Highsmith, M Jason

    2015-06-01

    Typical upper limb prostheses may limit sports participation; therefore, specialized terminal devices are often needed. The purpose of this study was to evaluate the ability of transradial amputees to play golf using a specialized terminal device. Club head speed, X-factor, and elbow motion of two individuals with transradial amputations using an Eagle Golf terminal device were compared to a non-amputee during a golf swing. Measurements were collected pre/post training with various stances and grips. Both prosthesis users preferred a right-handed stance initially; however, after training, one preferred a left-handed stance. The amputees had slower club head speeds and a lower X-factor compared to the non-amputee golfer, but increased their individual elbow motion on the prosthetic side after training. Amputees enjoyed using the device, and it may provide kinematic benefits indicated by the increase in elbow flexion on the prosthetic side. The transradial amputees were able to swing a golf club with sufficient repetition, form, and velocity to play golf recreationally. Increased elbow flexion on the prosthetic side suggests a potential benefit from using the Eagle Golf terminal device. Participating in recreational sports can increase amputees' health and quality of life. © The International Society for Prosthetics and Orthotics 2014.

  2. Sensor Suits for Human Motion Detection

    Science.gov (United States)

    2006-02-18

    particularly the DARPA exoskeleton power suits. In this case, the sensor suit will be worn by the operator under the exoskeleton power suits. The sensor...controlling the power suit to accurately follow the operator’s motion intention. 14. SUBJECT TERMS Exoskeleton , Sensor suit, Muscle...1.Device for assisting grasping function using muscle stiffness sensor 2. Rehabilitation system of hand manipulation using optical fiber. 3

  3. One-Step Dynamic Classifier Ensemble Model for Customer Value Segmentation with Missing Values

    OpenAIRE

    Jin Xiao; Bing Zhu; Geer Teng; Changzheng He; Dunhu Liu

    2014-01-01

    Scientific customer value segmentation (CVS) is the base of efficient customer relationship management, and customer credit scoring, fraud detection, and churn prediction all belong to CVS. In real CVS, the customer data usually include lots of missing values, which may affect the performance of CVS model greatly. This study proposes a one-step dynamic classifier ensemble model for missing values (ODCEM) model. On the one hand, ODCEM integrates the preprocess of missing values and the classif...

  4. Classifying nitrilases as aliphatic and aromatic using machine learning technique.

    Science.gov (United States)

    Sharma, Nikhil; Verma, Ruchi; Savitri; Bhalla, Tek Chand

    2018-01-01

    ProCos (Protein Composition Server, script version), one of the machine learning techniques, was used to classify nitrilases as aliphatic and aromatic nitrilases. Some important feature vectors were used to train the algorithm, which included pseudo-amino acid composition (PAAC) and five-factor solution score (5FSS). This clearly differentiated into two groups of nitrilases, i.e., aliphatic and aromatic, achieving maximum sensitivity of 100.00%, specificity of 90.00%, accuracy of 95.00% and Mathew Correlation Coefficient (MCC) of about 0.90 for the pseudo-amino acid composition. On the other hand, five-factor solution score achieved a sensitivity of 96.00%, specificity of 84.00%, accuracy of 90.00% and Mathew Correlation Coefficient (MCC) of about 0.81. The total count of aliphatic amino acids, Ala (A), Gly (G), Leu (L), Ile (I), Val (V), Met (M) and Pro (P), was found to be higher, i.e., 42.7 in case of aliphatic nitrilases, whereas it was 40.1 in aromatic nitrilases. On the other hand, aromatic amino acids, Tyr (Y), Trp (W), His (H) and Phe (F) number, were found to be higher, i.e., 12.7 in aromatic nitrilases as compared to aliphatic nitrilases which was 10.7. This approach will help in predicting a nitrilase as aromatic or aliphatic nitrilase based on its amino acid sequence. Access to the scripts can be done logging onto GitHub using keyword 'Nitrilase' or 'https://github.com/rover2380/Nitrilase.git'.

  5. Hip strength and range of motion

    DEFF Research Database (Denmark)

    Mosler, Andrea B.; Crossley, Kay M.; Thorborg, Kristian

    2017-01-01

    Objectives To determine the normal profiles for hip strength and range of motion (ROM) in a professional football league in Qatar, and examine the effect of leg dominance, age, past history of injury, and ethnicity on these profiles. Design Cross-sectional cohort study. Methods Participants...... values are documented for hip strength and range of motion that can be used as reference profiles in the clinical assessment, screening, and management of professional football players. Leg dominance, recent past injury history and ethnicity do not need to be accounted for when using these profiles...... included 394 asymptomatic, male professional football players, aged 18–40 years. Strength was measured using a hand held dynamometer with an eccentric test in side-lying for hip adduction and abduction, and the squeeze test in supine with 45° hip flexion. Range of motion measures included: hip internal...

  6. Hybrid Neuro-Fuzzy Classifier Based On Nefclass Model

    Directory of Open Access Journals (Sweden)

    Bogdan Gliwa

    2011-01-01

    Full Text Available The paper presents hybrid neuro-fuzzy classifier, based on NEFCLASS model, which wasmodified. The presented classifier was compared to popular classifiers – neural networks andk-nearest neighbours. Efficiency of modifications in classifier was compared with methodsused in original model NEFCLASS (learning methods. Accuracy of classifier was testedusing 3 datasets from UCI Machine Learning Repository: iris, wine and breast cancer wisconsin.Moreover, influence of ensemble classification methods on classification accuracy waspresented.

  7. Human motion classification using a particle filter approach : Multiple model particle filtering applied to the micro-Doppler spectrum

    NARCIS (Netherlands)

    Groot, S.; Harmanny, R.; Driessen, H.; Yarovoy, A.

    2013-01-01

    In this article, a novel motion model-based particle filter implementation is proposed to classify human motion and to estimate key state variables, such as motion type, i.e. running or walking, and the subject’s height. Micro-Doppler spectrum is used as the observable information. The system and

  8. Management of Hand Burns

    Directory of Open Access Journals (Sweden)

    Fatih Irmak

    2017-09-01

    Full Text Available Objective: The hand is one of the most frequently affected body parts by burn injuries with a rate of 80% among all burn wounds. Early and effective treatment ensures the best chance of survival as well as a good functional prognosis. The aim of this study was to determine the epidemiology, variation, relationship between etiology and hospital stay, clinical features, and management of hand burns. Material and Methods: This retrospective study was conducted the University of Health Sciences; Şişli Hamidiye Etfal Application and Research Center, Departmant of Plastic, Reconstructive and Aesthetic Surgery and the Intensive Burn Care Unit between April 2009 and April 2014. Burns were assessed based on etiology, anatomical location, percentage of total body surface area affected, and depth of injury. Treatment was categorized as conservative, elective operative, or urgent operative. Results: In the study period, 788 patients were admitted to our Burn Unit. Of these, 240 were females (30.5% and 548 were males (69.5%. The most common type of burn injury in this study was thermal injury (695 cases; 88.2%, followed by electrical injury (67 cases; 8.5%, and chemical, frictional or unknown injuries (26 cases; 3.3%. Majority (more than 85% of the patients had second-degree burns, and some had third-degree burns. Conclusions: Burns commonly affect the hands, and many functional problems may develop if appropriate basic treatments are neglected. The best treatment for burns is prevention. Appropriate indoor arrangement and simple but effective measures that can be taken at home can significantly reduce burn trauma exposure.

  9. Gene-expression Classifier in Papillary Thyroid Carcinoma: Validation and Application of a Classifier for Prognostication

    DEFF Research Database (Denmark)

    Londero, Stefano Christian; Jespersen, Marie Louise; Krogdahl, Annelise

    2016-01-01

    BACKGROUND: No reliable biomarker for metastatic potential in the risk stratification of papillary thyroid carcinoma exists. We aimed to develop a gene-expression classifier for metastatic potential. MATERIALS AND METHODS: Genome-wide expression analyses were used. Development cohort: freshly...... frozen tissue from 38 patients was collected between the years 1986 and 2009. Validation cohort: formalin-fixed paraffin-embedded tissues were collected from 183 consecutively treated patients. RESULTS: A 17-gene classifier was identified based on the expression values in patients with and without...... metastasis in the development cohort. The 17-gene classifier for regional/distant metastasis identified was tested against the clinical status in the validation cohort. Sensitivity for detection of metastases was 51.5% and specificity 61.6%. Log-rank testing failed to identify any significance (p=0...

  10. Classifying prion and prion-like phenomena.

    Science.gov (United States)

    Harbi, Djamel; Harrison, Paul M

    2014-01-01

    The universe of prion and prion-like phenomena has expanded significantly in the past several years. Here, we overview the challenges in classifying this data informatically, given that terms such as "prion-like", "prion-related" or "prion-forming" do not have a stable meaning in the scientific literature. We examine the spectrum of proteins that have been described in the literature as forming prions, and discuss how "prion" can have a range of meaning, with a strict definition being for demonstration of infection with in vitro-derived recombinant prions. We suggest that although prion/prion-like phenomena can largely be apportioned into a small number of broad groups dependent on the type of transmissibility evidence for them, as new phenomena are discovered in the coming years, a detailed ontological approach might be necessary that allows for subtle definition of different "flavors" of prion / prion-like phenomena.

  11. Tying the Manager's Hands

    DEFF Research Database (Denmark)

    Foss, Kirsten; Foss, Nicolai Juul; Vázquez-Vicente, Xosé H.

    2003-01-01

    AbstractWe discuss and empirically examine a firm-level equivalent of the ancient problem of `tying the King's hands,' namely how to maximize managerial intervention for `good cause,' while avoiding intervention for `bad cause.' Managers may opportunistically intervene when such intervention prod......, using path-analysis, on a rich dataset, based on 329 firms in the Spanish food and electric/electronic industries....... assets, strong trade unions, corporate culture, etc. may function as constraints on managerial proclivities to opportunistically intervene. Thus, firms can make credible commitments that check managerial proclivities to opportunistically intervene. We derive 5 hypotheses from these ideas, and test them...

  12. Hand Controller Assembly

    Science.gov (United States)

    Bandera, Pablo (Inventor); Buchele, Paul (Inventor)

    2015-01-01

    A user input device for a vehicular electrical system is provided. The user input device includes a handle sized and shaped to be gripped by a human hand and a gimbal assembly within the handle. The gimbal assembly includes a first gimbal component, a second gimbal component coupled to the first gimbal component such that the second gimbal component is rotatable relative to the first gimbal component about a first axis, and a third gimbal component coupled to the second gimbal component such that the third gimbal component is rotatable relative to the second gimbal component about a second axis.

  13. Hand grip strength

    DEFF Research Database (Denmark)

    Frederiksen, Henrik; Gaist, David; Petersen, Hans Christian

    2002-01-01

    in life is a major problem in terms of prevalence, morbidity, functional limitations, and quality of life. It is therefore of interest to find a phenotype reflecting physical functioning which has a relatively high heritability and which can be measured in large samples. Hand grip strength is known......-55%). A powerful design to detect genes associated with a phenotype is obtained using the extreme discordant and concordant sib pairs, of whom 28 and 77 dizygotic twin pairs, respectively, were found in this study. Hence grip strength is a suitable phenotype for identifying genetic variants of importance to mid...

  14. Classifying the precancers: A metadata approach

    Directory of Open Access Journals (Sweden)

    Henson Donald E

    2003-06-01

    Full Text Available Abstract Background During carcinogenesis, precancers are the morphologically identifiable lesions that precede invasive cancers. In theory, the successful treatment of precancers would result in the eradication of most human cancers. Despite the importance of these lesions, there has been no effort to list and classify all of the precancers. The purpose of this study is to describe the first comprehensive taxonomy and classification of the precancers. As a novel approach to disease classification, terms and classes were annotated with metadata (data that describes the data so that the classification could be used to link precancer terms to data elements in other biological databases. Methods Terms in the UMLS (Unified Medical Language System related to precancers were extracted. Extracted terms were reviewed and additional terms added. Each precancer was assigned one of six general classes. The entire classification was assembled as an XML (eXtensible Mark-up Language file. A Perl script converted the XML file into a browser-viewable HTML (HyperText Mark-up Language file. Results The classification contained 4700 precancer terms, 568 distinct precancer concepts and six precancer classes: 1 Acquired microscopic precancers; 2 acquired large lesions with microscopic atypia; 3 Precursor lesions occurring with inherited hyperplastic syndromes that progress to cancer; 4 Acquired diffuse hyperplasias and diffuse metaplasias; 5 Currently unclassified entities; and 6 Superclass and modifiers. Conclusion This work represents the first attempt to create a comprehensive listing of the precancers, the first attempt to classify precancers by their biological properties and the first attempt to create a pathologic classification of precancers using standard metadata (XML. The classification is placed in the public domain, and comment is invited by the authors, who are prepared to curate and modify the classification.

  15. Sea urchin spine arthritis of the hand.

    Science.gov (United States)

    Wada, Takuro; Soma, Tamotsu; Gaman, Keiko; Usui, Masamichi; Yamashita, Toshihiko

    2008-03-01

    Although rare, hand injury caused by puncture with the sea urchin spine can result in serious complications. To emphasize its clinical significance, this article describes a group of patients who sustained chronic granulomatous arthritis induced by puncture with sea urchin spine (designated sea urchin spine arthritis). Five patients who developed sea urchin spine arthritis of the hand after puncture with sea urchin spine were treated at our hospitals. All lesions involved the proximal interphalangeal (PIP) joint (4 index fingers and 1 middle finger). Patients experienced pain, swelling, and discomfort around the site of puncture immediately after the injury. These initial symptoms subsided within a few days, and secondary symptoms including fusiform swelling, limited motion, and mild pain of the PIP joint appeared from 1 to 2 months later. Laboratory tests of inflammation and blood cell counts were negative. Plain radiographs showed soft tissue swelling and osteolysis but no visible spine. Thorough synovectomy of the PIP joint was performed, and the granulation tissue around the joint was also removed. No microorganism was identified from tissue culture or polymerase chain reaction in any of the 5 patients. At a mean follow-up of 21 months, 2 patients exhibited essentially normal active motion of the affected PIP joint, whereas the remaining 3 patients had diminished range of motion. Diagnosis of sea urchin spine arthritis can be made by history of sea urchin spine injury, a symptom-free period before the development of synovitis, and the absence of laboratory test abnormalities. Neither antibiotics nor nonsteroidal anti-inflammatory agents are effective. Undertaken early enough, thorough synovectomy might avoid complications and obtain favorable results. Therapeutic IV.

  16. Motion and relativity

    CERN Document Server

    Infeld, Leopold

    1960-01-01

    Motion and Relativity focuses on the methodologies, solutions, and approaches involved in the study of motion and relativity, including the general relativity theory, gravitation, and approximation.The publication first offers information on notation and gravitational interaction and the general theory of motion. Discussions focus on the notation of the general relativity theory, field values on the world-lines, general statement of the physical problem, Newton's theory of gravitation, and forms for the equation of motion of the second kind. The text then takes a look at the approximation meth

  17. Brain Image Motion Correction

    DEFF Research Database (Denmark)

    Jensen, Rasmus Ramsbøl; Benjaminsen, Claus; Larsen, Rasmus

    2015-01-01

    The application of motion tracking is wide, including: industrial production lines, motion interaction in gaming, computer-aided surgery and motion correction in medical brain imaging. Several devices for motion tracking exist using a variety of different methodologies. In order to use such devices...... offset and tracking noise in medical brain imaging. The data are generated from a phantom mounted on a rotary stage and have been collected using a Siemens High Resolution Research Tomograph for positron emission tomography. During acquisition the phantom was tracked with our latest tracking prototype...

  18. Measurement of visual motion

    Energy Technology Data Exchange (ETDEWEB)

    Hildreth, E.C.

    1984-01-01

    This book examines the measurement of visual motion and the use of relative movement to locate the boundaries of physical objects in the environment. It investigates the nature of the computations that are necessary to perform this analysis by any vision system, biological or artificial. Contents: Introduction. Background. Computation of the Velocity Field. An Algorithm to Compute the Velocity Field. The Computation of Motion Discontinuities. Perceptual Studies of Motion Measurement. The Psychophysics of Discontinuity Detection. Neurophysiological Studies of Motion. Summary and Conclusions. References. Author and Subject Indexes.

  19. A Multi-rhythmic Oscillator Model that Can Integrate Motion Stabilization with Motion Exploration

    Science.gov (United States)

    Owaki, Dai; Sakai, Yoshiyuki; Ishida, Satoshi; Tero, Atsushi; Ishiguro, Akio

    Central pattern generators (CPGs) have been increasingly attracting roboticists in the hope that they enable robots to realize truly supple and agile locomotion under real world constraints. Thus far, various CPG models have been proposed, particularly in terms of motion stabilization against external perturbations, i.e., limit cycle behavior. On the other hand, biological CPGs have another crucial aspect that cannot be neglected, i.e., motion exploration. Here, note that motion stabilization and motion exploration should be performed in different time-scales. Now the following questions arise: how can different time-scales be embedded into a single CPG effectively?; and what is a good mathematical tool for describing the coexistence of different time-scales? To overcome these problems, this paper introduces a novel oscillator model in which the two functions of motion stabilization and motion exploration can be seamlessly integrated by exploiting the concept of multi-rhythmicity, without relying on any hierarchical structure, which in turn enables that learning is an integral part of the motor control system. We applied this model to the learning of hopping motion as a practical example. Simulation results indicate that the robot can successfully perform online learning without the need for a separation between learning and performance phases.

  20. Hand Matters: Left-Hand Gestures Enhance Metaphor Explanation

    Science.gov (United States)

    Argyriou, Paraskevi; Mohr, Christine; Kita, Sotaro

    2017-01-01

    Research suggests that speech-accompanying gestures influence cognitive processes, but it is not clear whether the gestural benefit is specific to the gesturing hand. Two experiments tested the "(right/left) hand-specificity" hypothesis for self-oriented functions of gestures: gestures with a particular hand enhance cognitive processes…

  1. Categorization of compensatory motions in transradial myoelectric prosthesis users.

    Science.gov (United States)

    Hussaini, Ali; Zinck, Arthur; Kyberd, Peter

    2017-06-01

    Prosthesis users perform various compensatory motions to accommodate for the loss of the hand and wrist as well as the reduced functionality of a prosthetic hand. Investigate different compensation strategies that are performed by prosthesis users. Comparative analysis. A total of 20 able-bodied subjects and 4 prosthesis users performed a set of bimanual activities. Movements of the trunk and head were recorded using a motion capture system and a digital video recorder. Clinical motion angles were calculated to assess the compensatory motions made by the prosthesis users. The video recording also assisted in visually identifying the compensations. Compensatory motions by the prosthesis users were evident in the tasks performed (slicing and stirring activities) as compared to the benchmark of able-bodied subjects. Compensations took the form of a measured increase in range of motion, an observed adoption of a new posture during task execution, and prepositioning of items in the workspace prior to initiating a given task. Compensatory motions were performed by prosthesis users during the selected tasks. These can be categorized into three different types of compensations. Clinical relevance Proper identification and classification of compensatory motions performed by prosthesis users into three distinct forms allows clinicians and researchers to accurately identify and quantify movement. It will assist in evaluating new prosthetic interventions by providing distinct terminology that is easily understood and can be shared between research institutions.

  2. Executed Movement Using EEG Signals through a Naive Bayes Classifier

    Directory of Open Access Journals (Sweden)

    Juliano Machado

    2014-11-01

    Full Text Available Recent years have witnessed a rapid development of brain-computer interface (BCI technology. An independent BCI is a communication system for controlling a device by human intension, e.g., a computer, a wheelchair or a neuroprosthes is, not depending on the brain’s normal output pathways of peripheral nerves and muscles, but on detectable signals that represent responsive or intentional brain activities. This paper presents a comparative study of the usage of the linear discriminant analysis (LDA and the naive Bayes (NB classifiers on describing both right- and left-hand movement through electroencephalographic signal (EEG acquisition. For the analysis, we considered the following input features: the energy of the segments of a band pass-filtered signal with the frequency band in sensorimotor rhythms and the components of the spectral energy obtained through the Welch method. We also used the common spatial pattern (CSP filter, so as to increase the discriminatory activity among movement classes. By using the database generated by this experiment, we obtained hit rates up to 70%. The results are compatible with previous studies.

  3. Human motion correction and representation method from motion camera

    Directory of Open Access Journals (Sweden)

    Hong-Bo Zhang

    2017-06-01

    Full Text Available Motion estimation is a basic issue for many computer vision tasks, such as human–computer interaction, motion objection detection and intelligent robot. In many practical scenes, the object movement goes with camera motion. Generally, motion descriptors directly based on optical flow are inaccurate and have low discrimination power. To this end, a novel motion correction method is proposed and a novel motion feature descriptor called the motion difference histogram (MDH for recognising human action is proposed in this study. Motion estimation results are corrected by background motion estimation and MDH encodes the motion difference between the background and the objects. Experimental results on video shot with camera motion show that the proposed motion correction method is effective and the recognition accuracy of MDH is better than that of the state-of-the-art motion descriptor.

  4. The Importance of Spatiotemporal Information in Biological Motion Perception: White Noise Presented with a Step-like Motion Activates the Biological Motion Area.

    Science.gov (United States)

    Callan, Akiko; Callan, Daniel; Ando, Hiroshi

    2017-02-01

    Humans can easily recognize the motion of living creatures using only a handful of point-lights that describe the motion of the main joints (biological motion perception). This special ability to perceive the motion of animate objects signifies the importance of the spatiotemporal information in perceiving biological motion. The posterior STS (pSTS) and posterior middle temporal gyrus (pMTG) region have been established by many functional neuroimaging studies as a locus for biological motion perception. Because listening to a walking human also activates the pSTS/pMTG region, the region has been proposed to be supramodal in nature. In this study, we investigated whether the spatiotemporal information from simple auditory stimuli is sufficient to activate this biological motion area. We compared spatially moving white noise, having a running-like tempo that was consistent with biological motion, with stationary white noise. The moving-minus-stationary contrast showed significant differences in activation of the pSTS/pMTG region. Our results suggest that the spatiotemporal information of the auditory stimuli is sufficient to activate the biological motion area.

  5. Design and Development of a Hand Exoskeleton Robot for Active and Passive Rehabilitation

    OpenAIRE

    Oscar Sandoval-Gonzalez; Juan Jacinto-Villegas; Ignacio Herrera-Aguilar; Otniel Portillo-Rodiguez; Paolo Tripicchio; Miguel Hernandez-Ramos; Agustín Flores-Cuautle; Carlo Avizzano

    2016-01-01

    The present work, which describes the mechatronic design and development of a novel rehabilitation robotic exoskeleton hand, aims to present a solution for neuromusculoskeletal rehabilitation. It presents a full range of motion for all hand phalanges and was specifically designed to carry out position and force-position control for passive and active rehabilitation routines. System integration and preliminary clinical tests are also presented.

  6. Hand-foot-mouth disease

    Science.gov (United States)

    ... this page: //medlineplus.gov/ency/article/000965.htm Hand-foot-mouth disease To use the sharing features on this page, please enable JavaScript. Hand-foot-mouth disease is a common viral infection ...

  7. Rheumatoid arthritis and hand surgery

    DEFF Research Database (Denmark)

    Peretz, Anne Sofie Rosenborg; Madsen, Ole Rintek; Brogren, Elisabeth

    2017-01-01

    Rheumatoid arthritis results in characteristic deformities of the hand. Medical treatment has undergone a remarkable development. However, not all patients achieve remission or tolerate the treatment. Patients who suffer from deformities and persistent synovitis may be candidates for hand surgery...

  8. Arthritis of the hand - Rheumatoid

    Science.gov (United States)

    ... Therapist? Media Find a Hand Surgeon Home Anatomy Rheumatoid Arthritis Email to a friend * required fields From * To * ... debilitating when it affects the hands and fingers. Rheumatoid arthritis is one of the most common forms of ...

  9. Arthritis of the hand - Rheumatoid

    Science.gov (United States)

    ... Therapist? Media Find a Hand Surgeon Home Anatomy Rheumatoid Arthritis Email to a friend * required fields From * ... debilitating when it affects the hands and fingers. Rheumatoid arthritis is one of the most common forms ...

  10. Human computer interaction using hand gesture.

    Science.gov (United States)

    Wan, Silas; Nguyen, Hung T

    2008-01-01

    Hand gesture is a very natural form of human interaction and can be used effectively in human computer interaction (HCI). This project involves the design and implementation of a HCI using a small hand-worn wireless module with a 3-axis accelerometer as the motion sensor. The small stand-alone unit contains an accelerometer and a wireless Zigbee transceiver with microcontroller. To minimize intrusiveness to the user, the module is designed to be small (3cm by 4 cm). A time-delay neural network algorithm is developed to analyze the time series data from the 3-axis accelerometer. Power consumption is reduced by the non-continuous transmission of data and the use of low-power components, efficient algorithm and sleep mode between sampling for the wireless module. A home control interface is designed so that the user can control home appliances by moving through menus. The results demonstrate the feasibility of controlling home appliances using hand gestures and would present an opportunity for a section of the aging population and disabled people to lead a more independent life.

  11. Water quality assessment of hand-dug well in Sabon-Gari, Zaria ...

    African Journals Online (AJOL)

    This study examined the quality of hand-dug wells in Sabon-Gari area of Zaria, Nigeria. Three sets of sampled hand dug-wells were used for the study. They are small, medium and large wells classified based on their diameter. Water samples were collected from twenty-seven (27) different wells at strategic locations in the ...

  12. Hand Rehabilitation Learning System With an Exoskeleton Robotic Glove.

    Science.gov (United States)

    Ma, Zhou; Ben-Tzvi, Pinhas; Danoff, Jerome

    2016-12-01

    This paper presents a hand rehabilitation learning system, the SAFE Glove, a device that can be utilized to enhance the rehabilitation of subjects with disabilities. This system is able to learn fingertip motion and force for grasping different objects and then record and analyze the common movements of hand function including grip and release patterns. The glove is then able to reproduce these movement patterns in playback fashion to assist a weakened hand to accomplish these movements, or to modulate the assistive level based on the user's or therapist's intent for the purpose of hand rehabilitation therapy. Preliminary data have been collected from healthy hands. To demonstrate the glove's ability to manipulate the hand, the glove has been fitted on a wooden hand and the grasping of various objects was performed. To further prove that hands can be safely driven by this haptic mechanism, force sensor readings placed between each finger and the mechanism are plotted. These experimental results demonstrate the potential of the proposed system in rehabilitation therapy.

  13. A method for the control of multigrasp myoelectric prosthetic hands.

    Science.gov (United States)

    Dalley, Skyler Ashton; Varol, Huseyin Atakan; Goldfarb, Michael

    2012-01-01

    This paper presents the design and preliminary experimental validation of a multigrasp myoelectric controller. The described method enables direct and proportional control of multigrasp prosthetic hand motion among nine characteristic postures using two surface electromyography electrodes. To assess the efficacy of the control method, five nonamputee subjects utilized the multigrasp myoelectric controller to command the motion of a virtual prosthesis between random sequences of target hand postures in a series of experimental trials. For comparison, the same subjects also utilized a data glove, worn on their native hand, to command the motion of the virtual prosthesis for similar sequences of target postures during each trial. The time required to transition from posture to posture and the percentage of correctly completed transitions were evaluated to characterize the ability to control the virtual prosthesis using each method. The average overall transition times across all subjects were found to be 1.49 and 0.81 s for the multigrasp myoelectric controller and the native hand, respectively. The average transition completion rates for both were found to be the same (99.2%). Supplemental videos demonstrate the virtual prosthesis experiments, as well as a preliminary hardware implementation.

  14. Teaching Projectile Motion

    Science.gov (United States)

    Summers, M. K.

    1977-01-01

    Described is a novel approach to the teaching of projectile motion of sixth form level. Students are asked to use an analogue circuit to observe projectile motion and to graph the experimental results. Using knowledge of basic dynamics, students are asked to explain the shape of the curves theoretically. (Author/MA)

  15. Utility of electronic hand hygiene counting devices for measuring physicians' hand hygiene adherence applied to outpatient settings.

    Science.gov (United States)

    Arai, Akie; Tanabe, Masaki; Nakamura, Akiko; Yamasaki, Daisuke; Muraki, Yuichi; Kaneko, Toshihiro; Kadowaki, Ayako; Ito, Masaaki

    2016-12-01

    Our objectives were to evaluate the utility of electronic hand hygiene counting devices in outpatient settings and the impact of results feedback on physicians' hand hygiene behaviors. We installed 130 electronic hand hygiene counting devices in our redesigned outpatient department. We remotely monitored physicians' hand hygiene practices during outpatient examinations and calculated the adherence rate as follows: number of hand hygiene counts divided by the number of outpatients examined multiplied by 100. Physician individual adherence rates were also classified into 4 categories. Two hundred and eighty physicians from 28 clinical departments were monitored for 3 months. The overall hand hygiene adherence rate was 10.7% at baseline, which improved significantly after feedback to 18.2% in the third month. Of the clinical departments, 78.6% demonstrated significant improvement in hand hygiene compliance. The change in the percentage of physicians in each category before and after feedback were as follows: very low (84.3% to 72.1%), low (8.6% to 14.3%), moderate (2.9% to 8.9%), and high (4.3% to 4.6%), from the first to third month, respectively. Based on category assessment, 17.1% of physicians were classified as responders. Physicians' adherence to hand hygiene practices during outpatient examinations was successfully monitored remotely using electronic counting devices. Audit and feedback of adherence data may have a positive impact on physicians' hand hygiene compliance. Copyright © 2016 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. All rights reserved.

  16. Frame by frame stop motion non-traditional approaches to stop motion animation

    CERN Document Server

    Gasek, Tom

    2011-01-01

    In a world that is dominated by computer images, alternative stop motion techniques like pixilation, time-lapse photography and down-shooting techniques combined with new technologies offer a new, tangible and exciting approach to animation. With over 25 years professional experience, industry veteran, Tom Gasek presents a comprehensive guide to stop motion animation without the focus on puppetry or model animation. With tips, tricks and hands-on exercises, Frame by Frame will help both experienced and novice filmmakers get the most effective results from this underutilized branch of animation

  17. A Weighted Voting Classifier Based on Differential Evolution

    Directory of Open Access Journals (Sweden)

    Yong Zhang

    2014-01-01

    Full Text Available Ensemble learning is to employ multiple individual classifiers and combine their predictions, which could achieve better performance than a single classifier. Considering that different base classifier gives different contribution to the final classification result, this paper assigns greater weights to the classifiers with better performance and proposes a weighted voting approach based on differential evolution. After optimizing the weights of the base classifiers by differential evolution, the proposed method combines the results of each classifier according to the weighted voting combination rule. Experimental results show that the proposed method not only improves the classification accuracy, but also has a strong generalization ability and universality.

  18. Management of Atopic Hand Dermatitis

    DEFF Research Database (Denmark)

    Halling-Overgaard, Anne-Sofie; Zachariae, Claus; Thyssen, Jacob P

    2017-01-01

    This article provides an overview of clinical aspects of hand eczema in patients with atopic dermatitis. Hand eczema can be a part of atopic dermatitis itself or a comorbidity, for example, as irritant or allergic contact dermatitis. When managing hand eczema, it is important to first categorize...

  19. RBO Hand 2 CAD Files

    OpenAIRE

    Deimel, Raphael; Brock, Oliver

    2016-01-01

    This dataset contains the CAD models for creating a RBO Hand 2. It consists of a set of molds that can be printed and used to create Pneuflex actuators, and a scaffold to attach actuators to in order to recreate the RBO Hand 2, a pneumatic soft hand developed by the Robotics and Biology Lab.

  20. Motion control systems

    CERN Document Server

    Sabanovic, Asif

    2011-01-01

    "Presents a unified approach to the fundamental issues in motion control, starting from the basics and moving through single degree of freedom and multi-degree of freedom systems In Motion Control Systems, Šabanovic and Ohnishi present a unified approach to very diverse issues covered in motion control systems, offering know-how accumulated through work on very diverse problems into a comprehensive, integrated approach suitable for application in high demanding high-tech products. It covers material from single degree of freedom systems to complex multi-body non-redundant and redundant systems. The discussion of the main subject is based on original research results and will give treatment of the issues in motion control in the framework of the acceleration control method with disturbance rejection technique. This allows consistent unification of different issues in motion control ranging from simple trajectory tracking to topics related to haptics and bilateral control without and with delay in the measure...

  1. Instance-based classifiers applied to medical databases: diagnosis and knowledge extraction.

    Science.gov (United States)

    Gagliardi, Francesco

    2011-07-01

    that IB methods - most notably, the optimized k-NNC and the PEL-C - can be used and may be advantageous for clinical decision support systems and that IB classifiers can be used for nosological knowledge extraction. Because PEL-C uses more compact and potentially meaningful class descriptions, it is preferable when the diagnostic problem at-hand needs smaller storage space or for knowledge extraction itself. The complexity and responsibility of diagnostic practice requires that these results be confirmed further within other clinical domains. Copyright © 2011 Elsevier B.V. All rights reserved.

  2. Neural classifiers using one-time updating.

    Science.gov (United States)

    Diamantaras, K I; Strintzis, M G

    1998-01-01

    The linear threshold element (LTE), or perceptron, is a linear classifier with limited capabilities due to the problems arising when the input pattern set is linearly nonseparable. Assuming that the patterns are presented in a sequential fashion, we derive a theory for the detection of linear nonseparability as soon as it appears in the pattern set. This theory is based on the precise determination of the solution region in the weight space with the help of a special set of vectors. For this region, called the solution cone, we present a recursive computation procedure which allows immediate detection of nonseparability. The separability-violating patterns may be skipped so that, at the end, we derive a totally separable subset of the original pattern set along with its solution cone. The intriguing aspect of this algorithm is that it can be directly cast into a simple neural-network implementation. In this model the synaptic weights are committed (they are updated only once, and the only change that may happen after that is their destruction). This bears resemblance to the behavior of biological neural networks, and it is a feature unlike those of most other artificial neural techniques. Finally, by combining many such neural models we develop a learning procedure capable of separating convex classes.

  3. Is it important to classify ischaemic stroke?

    LENUS (Irish Health Repository)

    Iqbal, M

    2012-02-01

    Thirty-five percent of all ischemic events remain classified as cryptogenic. This study was conducted to ascertain the accuracy of diagnosis of ischaemic stroke based on information given in the medical notes. It was tested by applying the clinical information to the (TOAST) criteria. Hundred and five patients presented with acute stroke between Jan-Jun 2007. Data was collected on 90 patients. Male to female ratio was 39:51 with age range of 47-93 years. Sixty (67%) patients had total\\/partial anterior circulation stroke; 5 (5.6%) had a lacunar stroke and in 25 (28%) the mechanism of stroke could not be identified. Four (4.4%) patients with small vessel disease were anticoagulated; 5 (5.6%) with atrial fibrillation received antiplatelet therapy and 2 (2.2%) patients with atrial fibrillation underwent CEA. This study revealed deficiencies in the clinical assessment of patients and treatment was not tailored to the mechanism of stroke in some patients.

  4. How should we classify intersex disorders?

    Science.gov (United States)

    Aaronson, Ian A; Aaronson, Alistair J

    2010-10-01

    The term disorders of sex development (DSD) has achieved widespread acceptance as replacement for the term intersex, but how to classify these conditions remains problematic. The LWPES-ESPE (Lawson Wilkins Pediatric Endocrine Society and European Society of Paediatric Endocrinology) Consensus Group proposed using the karyotype as a basis for classification; however, this is but a crude reflection of the genetic makeup, is diagnostically non-specific, and is not in itself relevant to subsequent clinical developments. The historical classification of intersex disorders based on gonadal histology is currently out of favor, being tainted by association with the terms hermaphroditism and pseudohermaphroditism. We believe this is regrettable, for the histology of the gonad remains fundamental to the understanding of normal and aberrant sexual development by medical students and residents in training, as well as being a major determinant of clinical outcome for the patient. We propose a comprehensive classification of those DSD conditions generally regarded as belonging under the heading of intersex, based on gonadal histology. Biopsy will not be required when the diagnosis is clearly established biochemically or by gene studies as the histology can be confidently predicted. It will only be required when an ovotestis or dysgenetic gonad is suspected in order to determine the definitive diagnosis. Copyright © 2010 Journal of Pediatric Urology Company. Published by Elsevier Ltd. All rights reserved.

  5. Combining classifiers for robust PICO element detection.

    Science.gov (United States)

    Boudin, Florian; Nie, Jian-Yun; Bartlett, Joan C; Grad, Roland; Pluye, Pierre; Dawes, Martin

    2010-05-15

    Formulating a clinical information need in terms of the four atomic parts which are Population/Problem, Intervention, Comparison and Outcome (known as PICO elements) facilitates searching for a precise answer within a large medical citation database. However, using PICO defined items in the information retrieval process requires a search engine to be able to detect and index PICO elements in the collection in order for the system to retrieve relevant documents. In this study, we tested multiple supervised classification algorithms and their combinations for detecting PICO elements within medical abstracts. Using the structural descriptors that are embedded in some medical abstracts, we have automatically gathered large training/testing data sets for each PICO element. Combining multiple classifiers using a weighted linear combination of their prediction scores achieves promising results with an f-measure score of 86.3% for P, 67% for I and 56.6% for O. Our experiments on the identification of PICO elements showed that the task is very challenging. Nevertheless, the performance achieved by our identification method is competitive with previously published results and shows that this task can be achieved with a high accuracy for the P element but lower ones for I and O elements.

  6. Fault diagnosis with the Aladdin transient classifier

    Science.gov (United States)

    Roverso, Davide

    2003-08-01

    The purpose of Aladdin is to assist plant operators in the early detection and diagnosis of faults and anomalies in the plant that either have an impact on the plant performance, or that could lead to a plant shutdown or component damage if allowed to go unnoticed. The kind of early fault detection and diagnosis performed by Aladdin is aimed at allowing more time for decision making, increasing the operator awareness, reducing component damage, and supporting improved plant availability and reliability. In this paper we describe in broad lines the Aladdin transient classifier, which combines techniques such as recurrent neural network ensembles, Wavelet On-Line Pre-processing (WOLP), and Autonomous Recursive Task Decomposition (ARTD), in an attempt to improve the practical applicability and scalability of this type of systems to real processes and machinery. The paper focuses then on describing an application of Aladdin to a Nuclear Power Plant (NPP) through the use of the HAMBO experimental simulator of the Forsmark 3 boiling water reactor NPP in Sweden. It should be pointed out that Aladdin is not necessarily restricted to applications in NPPs. Other types of power plants, or even other types of processes, can also benefit from the diagnostic capabilities of Aladdin.

  7. Identifying and classifying juvenile stalking behavior.

    Science.gov (United States)

    Evans, Thomas M; Reid Meloy, J

    2011-01-01

    Despite the growing research in the area of stalking, the focus has been on adults who engage in this behavior. Unfortunately, almost no studies investigate the prevalence of this behavior in adolescents. Two cases are presented demonstrating not only that stalking occurs during the period of adolescence, but also that there is a significant difference in the motivation underlying this behavior that can be classified similarly to that of adult stalkers. Further, a suggested classification based on these two cases as well as our experience with other juveniles who have exhibited stalking behaviors is proposed. The first case involves a narcissistic youth who also possesses psychopathic traits, while the second involves a lonely, severely socially awkward teen. Juvenile stalking is a societal problem that has not yet garnered the attention it deserves, and all systems that deal with juvenile delinquency (juvenile court, law enforcement, and mental health personnel) as well as the school system must be educated to the prevalence and severity of this yet-to-be-recognized problem. © 2010 American Academy of Forensic Sciences.

  8. Hand Matters: Left-Hand Gestures Enhance Metaphor Explanation

    Science.gov (United States)

    2017-01-01

    Research suggests that speech-accompanying gestures influence cognitive processes, but it is not clear whether the gestural benefit is specific to the gesturing hand. Two experiments tested the “(right/left) hand-specificity” hypothesis for self-oriented functions of gestures: gestures with a particular hand enhance cognitive processes involving the hemisphere contralateral to the gesturing hand. Specifically, we tested whether left-hand gestures enhance metaphor explanation, which involves right-hemispheric processing. In Experiment 1, right-handers explained metaphorical phrases (e.g., “to spill the beans,” beans represent pieces of information). Participants kept the one hand (right, left) still while they were allowed to spontaneously gesture (or not) with their other free hand (left, right). Metaphor explanations were better when participants chose to gesture when their left hand was free than when they did not. An analogous effect of gesturing was not found when their right hand was free. In Experiment 2, different right-handers performed the same metaphor explanation task but, unlike Experiment 1, they were encouraged to gesture with their left or right hand or to not gesture at all. Metaphor explanations were better when participants gestured with their left hand than when they did not gesture, but the right hand gesture condition did not significantly differ from the no-gesture condition. Furthermore, we measured participants’ mouth asymmetry during additional verbal tasks to determine individual differences in the degree of right-hemispheric involvement in speech production. The left-over-right-side mouth dominance, indicating stronger right-hemispheric involvement, positively correlated with the left-over-right-hand gestural benefit on metaphor explanation. These converging findings supported the “hand-specificity” hypothesis. PMID:28080121

  9. An Efficient Solution for Hand Gesture Recognition from Video Sequence

    Directory of Open Access Journals (Sweden)

    PRODAN, R.-C.

    2012-08-01

    Full Text Available The paper describes a system of hand gesture recognition by image processing for human robot interaction. The recognition and interpretation of the hand postures acquired through a video camera allow the control of the robotic arm activity: motion - translation and rotation in 3D - and tightening/releasing the clamp. A gesture dictionary was defined and heuristic algorithms for recognition were developed and tested. The system can be used for academic and industrial purposes, especially for those activities where the movements of the robotic arm were not previously scheduled, for training the robot easier than using a remote control. Besides the gesture dictionary, the novelty of the paper consists in a new technique for detecting the relative positions of the fingers in order to recognize the various hand postures, and in the achievement of a robust system for controlling robots by postures of the hands.

  10. Adaptive motion mapping in pancreatic SBRT patients using Fourier transforms

    CERN Document Server

    Jones, Bernard L; Miften, Moyed

    2015-01-01

    Recent studies suggest that 4DCT is unable to accurately measure respiratory-induced pancreatic tumor motion. In this work, we assessed the daily motion of pancreatic tumors treated with SBRT, and developed adaptive strategies to predict and account for this motion. The daily motion trajectory of pancreatic tumors during CBCT acquisition was calculated using a model which reconstructs the instantaneous 3D position in each 2D CBCT projection image. We developed a metric (termed "Spectral Coherence," SC) based on the Fourier frequency spectrum of motion in the SI direction, and analyzed the ability of SC to predict motion-based errors and classify patients according to motion characteristics. The amplitude of daily motion exceeded the predictions of pre-treatment 4DCT imaging by an average of 3.0 mm, 2.3 mm, and 3.5 mm in the AP, LR, and SI directions. SC was correlated with daily motion differences and tumor dose coverage. In a simulated adaptive protocol, target margins were adjusted based on SC, resulting in...

  11. Hand function and quality of life before and after fasciectomy for Dupuytren contracture

    OpenAIRE

    Engstrand, Christina; Krevers, Barbro; Nylander, Göran; Kvist, Joanna

    2014-01-01

    PURPOSE: To describe changes in joint motion, sensibility, and scar pliability and to investigate the patients' expectations, self-reported recovery, and satisfaction with hand function, disability, and quality of life after surgery and hand therapy for Dupuytren disease. METHODS: This prospective cohort study collected measurements before surgery and 3, 6, and 12 months after surgery and hand therapy. Ninety patients with total active extension deficits of 60° or more from Dupuytren contract...

  12. Using Motion Tracking to Detect Spontaneous Movements in Infants

    DEFF Research Database (Denmark)

    Olsen, Mikkel Damgaard; Herskind, Anna; Nielsen, Jens Bo

    2015-01-01

    We study the characteristics of infants’ spontaneous movements, based on data obtained from a markerless motion tracking system. From the pose data, the set of features are generated from the raw joint-angles of the infants and different classifiers are trained and evaluated using annotated data...

  13. Leap Motion Device Used to Control a Real Anthropomorphic Gripper

    Directory of Open Access Journals (Sweden)

    Ionel Staretu

    2016-06-01

    Full Text Available This paper presents for the first time the use of the Leap Motion device to control an anthropomorphic gripper with five fingers. First, a description of the Leap Motion device is presented, highlighting its main functional characteristics, followed by testing of its use for capturing the movements of a human hand's fingers in different configurations. Next, the HandCommander soft module and the Interface Controller application are described. The HandCommander is a software module created to facilitate interaction between a human hand and the GraspIT virtual environment, and the Interface Controller application is required to send motion data to the virtual environment and to test the communication protocol. For the test, a prototype of an anthropomorphic gripper with five fingers was made, including a proper hardware system of command and control, which is briefly presented in this paper. Following the creation of the prototype, the command system performance test was conducted under real conditions, evaluating the recognition efficiency of the objects to be gripped and the efficiency of the command and control strategies for the gripping process. The gripping test is exemplified by the gripping of an object, such as a screw spanner. It was found that the command system, both in terms of capturing human hand gestures with the Leap Motion device and effective object gripping, is operational. Suggestive figures are presented as examples.

  14. Hand-it-on”

    DEFF Research Database (Denmark)

    Dieckmann, Gerhard Peter; Graae Zeltner, Louise; Helsø, Anne-Mette

    2016-01-01

    for simulation instructors with regard to scenario design, conduct, and debriefing. We introduce a simulation game, Hand-it-on, that can trigger discussions on how NTS can influence work processes. Hand-it-on aims to help clinicians and simulation instructors alike to improve their understanding of NTS concepts...... contexts. During Hand-it-on, participants stand in a circle and hand on everyday objects to each other according to simple rules, resulting in many events that can be debriefed in relation to safe patient care. We describe both the conduct of Hand-it-on and ideas on how to debrief participants. We provide...

  15. A motion-classification strategy based on sEMG-EEG signal combination for upper-limb amputees.

    Science.gov (United States)

    Li, Xiangxin; Samuel, Oluwarotimi Williams; Zhang, Xu; Wang, Hui; Fang, Peng; Li, Guanglin

    2017-01-07

    Most of the modern motorized prostheses are controlled with the surface electromyography (sEMG) recorded on the residual muscles of amputated limbs. However, the residual muscles are usually limited, especially after above-elbow amputations, which would not provide enough sEMG for the control of prostheses with multiple degrees of freedom. Signal fusion is a possible approach to solve the problem of insufficient control commands, where some non-EMG signals are combined with sEMG signals to provide sufficient information for motion intension decoding. In this study, a motion-classification method that combines sEMG and electroencephalography (EEG) signals were proposed and investigated, in order to improve the control performance of upper-limb prostheses. Four transhumeral amputees without any form of neurological disease were recruited in the experiments. Five motion classes including hand-open, hand-close, wrist-pronation, wrist-supination, and no-movement were specified. During the motion performances, sEMG and EEG signals were simultaneously acquired from the skin surface and scalp of the amputees, respectively. The two types of signals were independently preprocessed and then combined as a parallel control input. Four time-domain features were extracted and fed into a classifier trained by the Linear Discriminant Analysis (LDA) algorithm for motion recognition. In addition, channel selections were performed by using the Sequential Forward Selection (SFS) algorithm to optimize the performance of the proposed method. The classification performance achieved by the fusion of sEMG and EEG signals was significantly better than that obtained by single signal source of either sEMG or EEG. An increment of more than 14% in classification accuracy was achieved when using a combination of 32-channel sEMG and 64-channel EEG. Furthermore, based on the SFS algorithm, two optimized electrode arrangements (10-channel sEMG + 10-channel EEG, 10-channel sEMG + 20-channel

  16. Phase Diagram of Collective Motion of Bacterial Cells in a Shallow Circular Pool

    OpenAIRE

    Wakita, Jun-ichi; Tsukamoto, Shota; Yamamoto, Ken; Katori, Makoto; Yamada, Yasuyuki

    2015-01-01

    The collective motion of bacterial cells in a shallow circular pool is systematically studied using the bacterial species $Bacillus$ $subtilis$. The ratio of cell length to pool diameter (i.e., the reduced cell length) ranges from 0.06 to 0.43 in our experiments. Bacterial cells in a circular pool show various types of collective motion depending on the cell density in the pool and the reduced cell length. The motion is classified into six types, which we call random motion, turbulent motion,...

  17. Naive Bayesian classifiers for multinomial features: a theoretical analysis

    CSIR Research Space (South Africa)

    Van Dyk, E

    2007-11-01

    Full Text Available The authors investigate the use of naive Bayesian classifiers for multinomial feature spaces and derive error estimates for these classifiers. The error analysis is done by developing a mathematical model to estimate the probability density...

  18. A Weighted Voting Classifier Based on Differential Evolution

    National Research Council Canada - National Science Library

    Zhang, Yong; Zhang, Hongrui; Cai, Jing; Yang, Binbin

    2014-01-01

    ... a weighted voting approach based on differential evolution. After optimizing the weights of the base classifiers by differential evolution, the proposed method combines the results of each classifier according to the weighted voting combination rule...

  19. Evaluating Pixel vs. Segmentation based Classifiers with Height ...

    African Journals Online (AJOL)

    Windows User

    2017-10-13

    Oct 13, 2017 ... classification of digital imagery. ... Traditional pixel-based classifiers have been widely used for classifying optical imagery from ..... Chavez, P, Sides, SC & Anderson, JA 1991, 'Comparison of three different methods to merge.

  20. Management of pediatric hand burns.

    Science.gov (United States)

    Liodaki, Eirini; Kisch, Tobias; Mauss, Karl L; Senyaman, Oezge; Kraemer, Robert; Mailänder, Peter; Wünsch, Lutz; Stang, Felix

    2015-04-01

    Hand burns are common in the pediatric population. Optimal hand function is a crucial component of a high-quality survival after burn injury. This can only be achieved with a coordinated approach to the injuries. The aim of this study was to review the management algorithm and outcomes of pediatric hand burns at our institution. In total, 70 children fulfilling our study criteria were treated for a burn hand injury in our Burn Care Center between January 2008 and May 2013. 14 of the 70 pediatric patients underwent surgery because of the depth of the hand burns. The management algorithm depending on the depth of the burn is described. Two patients underwent correction surgery due to burn contractures later. For a successful outcome of the burned hand, the interdisciplinary involvement and cooperation of the plastic and pediatric surgeon, hand therapist, burn team, patient and their parents are crucial.

  1. How do we classify functional status?

    Science.gov (United States)

    Meyboom-de Jong, B M; Smith, R J

    1992-02-01

    The original question "How do we classify functional status?" is rephrased as "How do we order or arrange the limitations of function of primary care patients in classes?". After a review of the functions to be considered, the concept of functional status is presented using empirical data from the research project "Morbidity and Functional Status of the Elderly." The group studied consisted of 5,502 patients older than age 65 and 25 general practitioners in 12 practices. Functional status was assessed using five COOP charts: physical status, psychological status, daily activities, social status, and change. Morbidity was registered using the International Classification of Primary Care (ICPC). At the beginning and end of the study, 30% of the elderly patients assessed their physical functions as seriously limited, whereas 6% to 8% reported psychological problems and limitations in daily activities or social contacts. During the encounters, more serious limitations were recorded: 35% of encounters involved serious physical limitations; 18% involved serious limitations in activities of daily living, and 11% involved constant psychological problems or limitations in social contact. Women reported more physical limitations than men. Older patients reported more physical limitations than younger ones, and people living in nursing homes reported more limitations than patients living independently. From the disease-specific health profiles, we concluded that the greatest limitation of all aspects of function was scored during encounters for cerebrovascular disease, dementia, and cancer of the lung, stomach, intestine, and breast. Hypertension, "no disease," and "common cold" elicited the lowest functional limitations.(ABSTRACT TRUNCATED AT 250 WORDS)

  2. Robotically enhanced rubber hand illusion.

    Science.gov (United States)

    Arata, Jumpei; Hattori, Masashi; Ichikawa, Shohei; Sakaguchi, Masamichi

    2014-01-01

    The rubber hand illusion is a well-known multisensory illusion. In brief, watching a rubber hand being stroked by a paintbrush while one's own unseen hand is synchronously stroked causes the rubber hand to be attributed to one's own body and to "feel like it's my hand." The rubber hand illusion is thought to be triggered by the synchronized tactile stimulation of both the subject's hand and the fake hand. To extend the conventional rubber hand illusion, we introduce robotic technology in the form of a master-slave telemanipulator. The developed one degree-of-freedom master-slave system consists of an exoskeleton master equipped with an optical encoder that is worn on the subject's index finger and a motor-actuated index finger on the rubber hand, which allows the subject to perform unilateral telemanipulation. The moving rubber hand illusion has been studied by several researchers in the past with mechanically connected rigs between the subject's body and the fake limb. The robotic instruments let us investigate the moving rubber hand illusion with less constraints, thus behaving closer to the classic rubber hand illusion. In addition, the temporal delay between the body and the fake limb can be precisely manipulated. The experimental results revealed that the robotic instruments significantly enhance the rubber hand illusion. The time delay is significantly correlated with the effect of the multisensory illusion, and the effect significantly decreased at time delays over 100 ms. These findings can potentially contribute to the investigations of neural mechanisms in the field of neuroscience and of master-slave systems in the field of robotics.

  3. development of oscillating classifiers for forage chop length ...

    African Journals Online (AJOL)

    Dr Obe

    1987-09-01

    Sep 1, 1987 ... The three different drive-mechanisms produce three screen motions: Linear motion, Under-arc motion and .... The crank wheel is provided with four different crank pin locations to vary the stroke length. A chain drive between a gear motor and the crankshaft permits changing the speed of oscillation.

  4. Heterotopic Vascularized Joint Transfer in Mutilating Hand Injuries.

    Science.gov (United States)

    Chang, Nai-Jen; Chang, Johnny T; Hsu, Chung-Chen; Lin, Cheng-Hung; Lin, Chih-Hung; Lin, Yu-Te

    2016-03-01

    In cases of mutilating hand injuries, the primary goal is recovery of prehensile function. This is particularly true in the case of joints, which are extremely difficult to replace or reconstruct adequately when damaged. Heterotopic vascularized joint transfer is indicated when salvageable joints are available for transfer to a more functionally optimal position on the hand. Seven cases of mutilating hand injuries treated with heterotopic vascularized joint transfers from 2003 to 2012 were retrospectively identified. All patients sustained severe metacarpophalangeal joint (MPJ) or proximal interphalangeal joint (PIPJ) damage that threatened recovery of optimal hand function. All patients were men, with an average age of 34.7 years. Operative, perioperative, and postoperative details including final active range of motion were collected and analyzed. Seven joints were taken from nonsalvageable amputated digits: 4 from the amputated parts, and 3 from the proximal stumps. Five joints were transferred as free flaps requiring microvascular anastomosis, and 2 were transferred on neurovascular pedicles. One joint was lost due to vasospasm. Average active range of motion was 68.3° for homojoint transfers (MPJ to MPJ, PIPJ to PIPJ), and 35° for heterojoint transfers. All but 1 patient were able to achieve tripod pinch; the remaining patient achieved only side-to-side pinch. Heterotopic vascularized joint transfer is a useful technique to consider in cases of mutilating hand injuries. Improved recovery of prehensile function can be achieved with thoughtful design and execution, followed by proper patient education and rehabilitation.

  5. An Approach for Pattern Recognition of EEG Applied in Prosthetic Hand Drive

    Directory of Open Access Journals (Sweden)

    Xiao-Dong Zhang

    2011-12-01

    Full Text Available For controlling the prosthetic hand by only electroencephalogram (EEG, it has become the hot spot in robotics research to set up a direct communication and control channel between human brain and prosthetic hand. In this paper, the EEG signal is analyzed based on multi-complicated hand activities. And then, two methods of EEG pattern recognition are investigated, a neural prosthesis hand system driven by BCI is set up, which can complete four kinds of actions (arm’s free state, arm movement, hand crawl, hand open. Through several times of off-line and on-line experiments, the result shows that the neural prosthesis hand system driven by BCI is reasonable and feasible, the C-support vector classifiers-based method is better than BP neural network on the EEG pattern recognition for multi-complicated hand activities.

  6. Superluminal motion in astronomy

    Energy Technology Data Exchange (ETDEWEB)

    Falla, D.F.; Floyd, M.J. [Department of Physics, University of Wales, Aberystwyth (United Kingdom)

    2002-01-01

    Several examples of 'intrinsic-type' superluminal motion in astronomy are taken. A simple signal-delay transformation is devised and shown to be sufficient to explain the superluminal effect as resulting from differential signal delay across an expanding source. The distinction between relativistic motion and relativistic kinematics is made. The key kinematical equation used to describe superluminal motion is an alternative statement of the Doppler effect. Relativistic transformations, which are relevant when intervals in different reference frames are compared, then lead to the relativistic Doppler factor ({delta}), which is applicable to measurements on a photographic image, for example that of a relativistic quasar jet with superluminal components. (author)

  7. Method through motion

    DEFF Research Database (Denmark)

    Steijn, Arthur

    2016-01-01

    Contemporary scenography often consists of video-projected motion graphics. The field is lacking in academic methods and rigour: descriptions and models relevant for the creation as well as in the analysis of existing works. In order to understand the phenomenon of motion graphics in a scenographic...... context, I have been conducting a practice-led research project. Central to the project is construction of a design model describing sets of procedures, concepts and terminology relevant for design and studies of motion graphics in spatial contexts. The focus of this paper is the role of model...

  8. Recognition of pornographic web pages by classifying texts and images.

    Science.gov (United States)

    Hu, Weiming; Wu, Ou; Chen, Zhouyao; Fu, Zhouyu; Maybank, Steve

    2007-06-01

    With the rapid development of the World Wide Web, people benefit more and more from the sharing of information. However, Web pages with obscene, harmful, or illegal content can be easily accessed. It is important to recognize such unsuitable, offensive, or pornographic Web pages. In this paper, a novel framework for recognizing pornographic Web pages is described. A C4.5 decision tree is used to divide Web pages, according to content representations, into continuous text pages, discrete text pages, and image pages. These three categories of Web pages are handled, respectively, by a continuous text classifier, a discrete text classifier, and an algorithm that fuses the results from the image classifier and the discrete text classifier. In the continuous text classifier, statistical and semantic features are used to recognize pornographic texts. In the discrete text classifier, the naive Bayes rule is used to calculate the probability that a discrete text is pornographic. In the image classifier, the object's contour-based features are extracted to recognize pornographic images. In the text and image fusion algorithm, the Bayes theory is used to combine the recognition results from images and texts. Experimental results demonstrate that the continuous text classifier outperforms the traditional keyword-statistics-based classifier, the contour-based image classifier outperforms the traditional skin-region-based image classifier, the results obtained by our fusion algorithm outperform those by either of the individual classifiers, and our framework can be adapted to different categories of Web pages.

  9. 32 CFR 2400.28 - Dissemination of classified information.

    Science.gov (United States)

    2010-07-01

    ... 32 National Defense 6 2010-07-01 2010-07-01 false Dissemination of classified information. 2400.28... SECURITY PROGRAM Safeguarding § 2400.28 Dissemination of classified information. Heads of OSTP offices shall establish procedures consistent with this Regulation for dissemination of classified material. The...

  10. Markerless Kinect-Based Hand Tracking for Robot Teleoperation

    Directory of Open Access Journals (Sweden)

    Guanglong Du

    2012-07-01

    Full Text Available This paper presents a real-time remote robot teleoperation method using markerless Kinect-based hand tracking. Using this tracking algorithm, the positions of index finger and thumb in 3D can be estimated by processing depth images from Kinect. The hand pose is used as a model to specify the pose of a real-time remote robot's end-effector. This method provides a way to send a whole task to a remote robot instead of sending limited motion commands like gesture-based approaches and this method has been tested in pick-and-place tasks.

  11. Prosthetic helping hand

    Science.gov (United States)

    Vest, Thomas W. (Inventor); Carden, James R. (Inventor); Norton, William E. (Inventor); Belcher, Jewell G. (Inventor)

    1992-01-01

    A prosthetic device for below-the-elbow amputees, having a C-shaped clamping mechanism for grasping cylindrical objects, is described. The clamping mechanism is pivotally mounted to a cuff that fits on the amputee's lower arm. The present invention is utilized by placing an arm that has been amputated below the elbow into the cuff. The clamping mechanism then serves as a hand whenever it becomes necessary for the amputee to grasp a cylindrical object such as a handle, a bar, a rod, etc. To grasp the cylindrical object, the object is jammed against the opening in the C-shaped spring, causing the spring to open, the object to pass to the center of the spring, and the spring to snap shut behind the object. Various sizes of clamping mechanisms can be provided and easily interchanged to accommodate a variety of diameters. With the extension that pivots and rotates, the clamping mechanism can be used in a variety of orientations. Thus, this invention provides the amputee with a clamping mechanism that can be used to perform a number of tasks.

  12. Influence of Active Manipulation of an Object on Visual Motion Perception

    Directory of Open Access Journals (Sweden)

    Kazumichi Matsumiya

    2011-10-01

    Full Text Available When we manipulate an object by hand, the movements of the object are produced with the visual and haptic movements of our hands. Studies of multimodal perception show the interaction between touch and vision in visual motion perception(1,2. The influence of touch on visual motion perception is shown by the fact that adaptation to tactile motion across the observer's hand induces a visual motion aftereffect, which is a visual illusion in which exposure to a moving visual pattern makes a subsequently viewed stationary visual pattern appear to move in the opposite direction(2. This visuo-tactile interaction plays an important role in skillful manipulation(3. However, it is not clear how haptic information influences visual motion perception. We measured the strength of a visual motion aftereffect after visuo-haptic adaptation to a windmill rotated by observers. We found that the visual motion aftereffect was enhanced when observers actively rotated the windmill. The motion aftereffect was not enhanced when the observer's hand was passively moved. Our results suggest the presence of a visual motion system that is linked to the intended haptic movements.

  13. The utility of hand transplantation in hand amputee patients.

    Science.gov (United States)

    Alolabi, Noor; Chuback, Jennifer; Grad, Sharon; Thoma, Achilles

    2015-01-01

    To measure the desirable health outcome, termed utility, and the expected quality-adjusted life years (QALYs) gained with hand composite tissue allotransplantation (CTA) using hand amputee patients and the general public. Using the standard gamble (SG) and time trade-off (TTO) techniques, utilities were obtained from 30 general public participants and 12 amputee patients. The health utility and net QALYs gained or lost with transplantation were computed. A sensitivity analysis was conducted to account for the effects of lifelong immunosuppression on the life expectancy of transplant recipients. Higher scores represent greater utility. Hand amputation mean health utility as measured by the SG and TTO methods, respectively, was 0.72 and 0.80 for the general public and 0.69 and 0.70 for hand amputees. In comparison, hand CTA mean health utility was 0.74 and 0.82 for the general public and 0.83 and 0.86 for amputees. Hand CTA imparted an expected gain of 0.9 QALYs (SG and TTO) in the general public and 7.0 (TTO) and 7.8 (SG) QALYs in hand amputees. A loss of at least 1.7 QALYs was demonstrated when decreasing the life expectancy in the sensitivity analysis in the hand amputee group. Hand amputee patients did not show a preference toward hand CTA with its inherent risks. With this procedure being increasingly adopted worldwide, the benefits must be carefully weighed against the risks of lifelong immunosuppressive therapy. This study does not show clear benefit to advocate hand CTA. Copyright © 2015 American Society for Surgery of the Hand. Published by Elsevier Inc. All rights reserved.

  14. Effects of acute intermittent hypoxia on hand use after spinal cord trauma: A preliminary study.

    Science.gov (United States)

    Trumbower, Randy D; Hayes, Heather B; Mitchell, Gordon S; Wolf, Steven L; Stahl, Victoria A

    2017-10-31

    To test the hypothesis that daily acute intermittent hypoxia (AIH) combined with hand opening practice improves hand dexterity, function, and maximum hand opening in persons with chronic, motor-incomplete, cervical spinal cord injury. Six participants completed the double-blind, crossover study. Participants received daily (5 consecutive days) AIH (15 episodes per day: 1.5 minutes of fraction of inspired oxygen [FIo2] = 0.09, 1-minute normoxic intervals) followed by 20 repetitions of hand opening practice and normoxia (sham, FIo2 = 0.21) + hand opening practice. Hand dexterity and function were quantified with Box and Block and Jebsen-Taylor hand function tests. We also recorded maximum hand opening using motion analyses and coactivity of extensor digitorum and flexor digitorum superficialis muscles using surface EMG. Daily AIH + hand opening practice improved hand dexterity, function, and maximum hand opening in all participants. AIH + hand opening practice improved Box and Block Test scores vs baseline in 5 participants (p = 0.057) and vs sham + hand opening practice in all 6 participants (p = 0.016). All participants reduced Jebsen-Taylor Hand Function Test (JTHF) time after daily AIH + hand opening practice (-7.2 ± 1.4 seconds) vs baseline; 4 of 6 reduced JTHF time vs sham + hand opening practice (p = 0.078). AIH + hand opening practice improved maximum hand aperture in 5 of 6 participants (8.1 ± 2.7 mm) vs baseline (p = 0.018) and sham + hand opening practice (p = 0.030). In 5 participants, daily AIH-induced changes in hand opening were accompanied by improved EMG coactivity (p = 0.029). This report suggests the need for further study of AIH as a plasticity "primer" for task-specific training in spinal cord injury rehabilitation. Important clinical questions remain concerning optimal AIH dosage, patient screening, safety, and effect persistence. NCT01272336. © 2017 American Academy of Neurology.

  15. "Osseous tumors of the hand "

    Directory of Open Access Journals (Sweden)

    "Farzan M

    2002-08-01

    Full Text Available The majority of osseous tumors of the hand are benign. The surgeon who evaluates and treats osseous tumors of the hand has to be familiar with limb anatomy, tumor biology, various presentations of the tumors and the range of treatment possibilities and their limitations. Lesions in the hand more often present earlier in their course than those at other sites, just because they are more likely to superficial and easily noticed. A review of all cases of osseous tumors of the hand, seen by a hand surgeon over the last 10 years, at Imam Khomeini hospital was performed. Among 55 cases with osseous tumors of hand, 48 primary benign bone tumors, 3 primary malignant bone tumors, and 4 metastatic bone tumors were found. Enchondroma was the most common benign bone tumor followed by osteoid osteoma, osteoblastoma, aneurismal bone cyst, giant cell tumor, epidermoid cyst, and osteochondroma. There were two chondrosarcoma and one Ewing’s sarcoma as primary malignant bone tumors. Metastasis to the hand from colon, esophagus, and breast were also found. There were also two cases with Brown tumor secondary to hyperparathyroidism, we conclude that a variety of osseous tumors could occur in the hand, and usually they are benign. Although malignant neoplasms in the hand that arise from tissues other than the skin are very rare, the hand may be the site of distant breast, lung, kidney, esophagus, or colon adenocarcinoma metastases, most of which have a predilection for the distal phalanges.

  16. fMRI-compatible rehabilitation hand device

    Directory of Open Access Journals (Sweden)

    Tzika Aria

    2006-10-01

    Full Text Available Abstract Background Functional magnetic resonance imaging (fMRI has been widely used in studying human brain functions and neurorehabilitation. In order to develop complex and well-controlled fMRI paradigms, interfaces that can precisely control and measure output force and kinematics of the movements in human subjects are needed. Optimized state-of-the-art fMRI methods, combined with magnetic resonance (MR compatible robotic devices for rehabilitation, can assist therapists to quantify, monitor, and improve physical rehabilitation. To achieve this goal, robotic or mechatronic devices with actuators and sensors need to be introduced into an MR environment. The common standard mechanical parts can not be used in MR environment and MR compatibility has been a tough hurdle for device developers. Methods This paper presents the design, fabrication and preliminary testing of a novel, one degree of freedom, MR compatible, computer controlled, variable resistance hand device that may be used in brain MR imaging during hand grip rehabilitation. We named the device MR_CHIROD (Magnetic Resonance Compatible Smart Hand Interfaced Rehabilitation Device. A novel feature of the device is the use of Electro-Rheological Fluids (ERFs to achieve tunable and controllable resistive force generation. ERFs are fluids that experience dramatic changes in rheological properties, such as viscosity or yield stress, in the presence of an electric field. The device consists of four major subsystems: a an ERF based resistive element; b a gearbox; c two handles and d two sensors, one optical encoder and one force sensor, to measure the patient induced motion and force. The smart hand device is designed to resist up to 50% of the maximum level of gripping force of a human hand and be controlled in real time. Results Laboratory tests of the device indicate that it was able to meet its design objective to resist up to approximately 50% of the maximum handgrip force. The detailed

  17. fMRI-compatible rehabilitation hand device.

    Science.gov (United States)

    Khanicheh, Azadeh; Muto, Andrew; Triantafyllou, Christina; Weinberg, Brian; Astrakas, Loukas; Tzika, Aria; Mavroidis, Constantinos

    2006-10-06

    Functional magnetic resonance imaging (fMRI) has been widely used in studying human brain functions and neurorehabilitation. In order to develop complex and well-controlled fMRI paradigms, interfaces that can precisely control and measure output force and kinematics of the movements in human subjects are needed. Optimized state-of-the-art fMRI methods, combined with magnetic resonance (MR) compatible robotic devices for rehabilitation, can assist therapists to quantify, monitor, and improve physical rehabilitation. To achieve this goal, robotic or mechatronic devices with actuators and sensors need to be introduced into an MR environment. The common standard mechanical parts can not be used in MR environment and MR compatibility has been a tough hurdle for device developers. This paper presents the design, fabrication and preliminary testing of a novel, one degree of freedom, MR compatible, computer controlled, variable resistance hand device that may be used in brain MR imaging during hand grip rehabilitation. We named the device MR_CHIROD (Magnetic Resonance Compatible Smart Hand Interfaced Rehabilitation Device). A novel feature of the device is the use of Electro-Rheological Fluids (ERFs) to achieve tunable and controllable resistive force generation. ERFs are fluids that experience dramatic changes in rheological properties, such as viscosity or yield stress, in the presence of an electric field. The device consists of four major subsystems: a) an ERF based resistive element; b) a gearbox; c) two handles and d) two sensors, one optical encoder and one force sensor, to measure the patient induced motion and force. The smart hand device is designed to resist up to 50% of the maximum level of gripping force of a human hand and be controlled in real time. Laboratory tests of the device indicate that it was able to meet its design objective to resist up to approximately 50% of the maximum handgrip force. The detailed compatibility tests demonstrated that there is

  18. The psychotic mummified hand: an unusual hand injury complication.

    Science.gov (United States)

    Mathieu, L; Guillibert, E; Mamane, W; Masmejean, E H

    2013-12-01

    The authors report the case of a patient with psychotic symptoms secondary to a posttraumatic stress disorder following a work-related hand injury. The somatic presentation was a "mummified" hand neglected for several years in a splint without any care. The psychiatric analysis concluded that this was part of a delusion of persecution expressing a conflict against the patient's employer and insurance company. Surgical treatment was limited to a hand cleaning with hardware removal. Despite 3 years of antipsychotic medication the patient was still suffering from delusion and the hand remained neglected at the last follow-up. Copyright © 2013 Elsevier Masson SAS. All rights reserved.

  19. MGRA: Motion Gesture Recognition via Accelerometer

    Directory of Open Access Journals (Sweden)

    Feng Hong

    2016-04-01

    Full Text Available Accelerometers have been widely embedded in most current mobile devices, enabling easy and intuitive operations. This paper proposes a Motion Gesture Recognition system (MGRA based on accelerometer data only, which is entirely implemented on mobile devices and can provide users with real-time interactions. A robust and unique feature set is enumerated through the time domain, the frequency domain and singular value decomposition analysis using our motion gesture set containing 11,110 traces. The best feature vector for classification is selected, taking both static and mobile scenarios into consideration. MGRA exploits support vector machine as the classifier with the best feature vector. Evaluations confirm that MGRA can accommodate a broad set of gesture variations within each class, including execution time, amplitude and non-gestural movement. Extensive evaluations confirm that MGRA achieves higher accuracy under both static and mobile scenarios and costs less computation time and energy on an LG Nexus 5 than previous methods.

  20. Ears on the hand: reaching 3D audio targets

    Directory of Open Access Journals (Sweden)

    Hanneton Sylvain

    2011-12-01

    Full Text Available We studied the ability of right-handed participants to reach 3D audio targets with their right hand. Our immersive audio environment was based on the OpenAL library and Fastrak magnetic sensors for motion capture. Participants listen the target through a “virtual” listener linked to a sensor fixed either on the head or on the hand. We compare three experimental conditions in which the virtual listener is on the head, on the left hand, and on the right hand (that reach the target. We show that (1 participants are able to learn the task but (2 with a low success rate and high durations, (3 the individual levels of performance are very variable, (4 the best performances are achieved when the listener is on the right hand. Consequently, we concluded that our participants were able to learn to locate 3D audio sources even if their ears are transposed on their hand, but we found of behavioral differences between the three experimental conditions.

  1. Motor synergies for dampening hand vibration during human walking.

    Science.gov (United States)

    Togo, Shunta; Kagawa, Takahiro; Uno, Yoji

    2012-01-01

    This study investigated the motion required to carry a cup filled with water without spilling it, which is a common human dexterous task. This task requires the individual to dampen hand vibration while walking. We hypothesize that a reduction in hand jerk and a constant cup angle are required to achieve this task. We measured movements while human subjects carried a cup with water (WW task) and with stones (WS task) using a three-dimensional position measurement system and then analyzed joint coordination. We empirically confirmed that the value of hand jerk and the variance in cup angle in the WW task were smaller than those in the WS task. We used uncontrolled manifold (UCM) analysis to quantify joint coordination corresponding to the motor synergy required to reduce the hand jerk and variance of the cup angle. UCM components, which did not affect the hand jerk and cup angle, were larger than orthogonal components, which directly affected the hand jerk and cup angle in the WW task. These results suggest that there is a coordinated control mechanism that reduces hand jerk and maintains a constant cup angle when carrying a cup filled with water without spilling it. In addition, we suggest that humans adopt a flexible and coordinated control strategy of allowing variance independent of the variables that should be controlled to achieve this dexterous task.

  2. Motion Alters Color Appearance

    Science.gov (United States)

    Hong, Sang-Wook; Kang, Min-Suk

    2016-01-01

    Chromatic induction compellingly demonstrates that chromatic context as well as spectral lights reflected from an object determines its color appearance. Here, we show that when one colored object moves around an identical stationary object, the perceived saturation of the stationary object decreases dramatically whereas the saturation of the moving object increases. These color appearance shifts in the opposite directions suggest that normalization induced by the object’s motion may mediate the shift in color appearance. We ruled out other plausible alternatives such as local adaptation, attention, and transient neural responses that could explain the color shift without assuming interaction between color and motion processing. These results demonstrate that the motion of an object affects both its own color appearance and the color appearance of a nearby object, suggesting a tight coupling between color and motion processing. PMID:27824098

  3. Projectile Motion with Mathematica.

    Science.gov (United States)

    de Alwis, Tilak

    2000-01-01

    Describes how to use the computer algebra system (CAS) Mathematica to analyze projectile motion with and without air resistance. These experiments result in several conjectures leading to theorems. (Contains 17 references.) (Author/ASK)

  4. Projectile Motion Details.

    Science.gov (United States)

    Schnick, Jeffrey W.

    1994-01-01

    Presents an exercise that attempts to correct for the common discrepancies between theoretical and experimental predictions concerning projectile motion using a spring-loaded projectile ball launcher. Includes common correction factors for student use. (MVL)

  5. A Projectile Motion Bullseye.

    Science.gov (United States)

    Lamb, William G.

    1985-01-01

    Explains a projectile motion experiment involving a bow and arrow. Procedures to measure "muzzle" velocity, bow elastic potential energy, range, flight time, wind resistance, and masses are considered. (DH)

  6. Molecular Motion Machine

    Science.gov (United States)

    Shourd, Melvin L.

    1977-01-01

    Describes the construction of an inexpensive apparatus which utilizes the oscillatory motion of 60 cycle AC current in conjunction with an electromagnetic to illustrate various principles and processes in geology. (SL)

  7. Toying with Motion.

    Science.gov (United States)

    Galus, Pamela J.

    2002-01-01

    Presents a variety of activities that support the development of an understanding of Newton's laws of motion. Activities use toy cars, mobile roads, and a seat-of-nails. Includes a scoring rubric. (DDR)

  8. Travelers' Health: Motion Sickness

    Science.gov (United States)

    ... motion by sea, car, train, air, and virtual reality immersion. Given sufficient stimulus all people with functional ... retching Sweating Cold sweats Excessive salivation Apathy Hyperventilation Increased sensitivity to odors Loss of appetite Headache Drowsiness ...

  9. Hand preference status and reach kinematics in infants.

    Science.gov (United States)

    Nelson, Eliza L; Konidaris, George D; Berthier, Neil E

    2014-11-01

    Infants show age-related improvements in reach straightness and smoothness over the first years of life as well as a decrease in average movement speed. This period of changing kinematics overlaps the emergence of handedness. We examined whether infant hand preference status is related to the development of motor control in 53 infants ranging from 11 to 14 months old. Hand preference status was assessed from reaching to a set of 5 objects presented individually at the infant's midline; infants were classified into 'right preference' or 'no preference' groups. Three-dimensional (3-D) recordings were made of each arm for reaches under two distinct conditions: pick up a ball and fit it into the opening of a toy (grasp-to-place task) or pick up a Cheerio® and consume it (grasp-to-eat task). Contrary to expectations, there was no effect of hand preference status on reach smoothness or straightness for either task. On the grasp-to-eat task only, average speed of the left hand differed as a function of hand preference status. Infants in the no preference group exhibited higher left hand average speeds than infants in the right preference group. Our results suggest that while behavioral differences in the use of the two hands may be present in some infants, these differences do not appear to be systematically linked to biases in motor control of the arms early in development. Copyright © 2014 Elsevier Inc. All rights reserved.

  10. Hand function and quality of life before and after fasciectomy for Dupuytren contracture.

    Science.gov (United States)

    Engstrand, Christina; Krevers, Barbro; Nylander, Göran; Kvist, Joanna

    2014-07-01

    To describe changes in joint motion, sensibility, and scar pliability and to investigate the patients' expectations, self-reported recovery, and satisfaction with hand function, disability, and quality of life after surgery and hand therapy for Dupuytren disease. This prospective cohort study collected measurements before surgery and 3, 6, and 12 months after surgery and hand therapy. Ninety patients with total active extension deficits of 60° or more from Dupuytren contracture were included. Outcomes measures were range of motion; sensibility; scar pliability; self-reported outcomes on expectations, recovery, and satisfaction with hand function; Disabilities of the Arm, Shoulder, and Hand scores; safety and social issues of hand function; physical activity habits; and quality of life with the Euroqol. The extension deficit decreased, and there was a transient decrease in active finger flexion during the first year after surgery. Sensibility remained unaffected. Generally, patients with surgery on multiple fingers had worse scar pliability. The majority of the patients had their expectations met, and at 6 months, 32% considered hand function as fully recovered, and 73% were satisfied with their hand function. Fear of hurting the hand and worry about not trusting the hand function were of greatest concern among safety and social issues. The Disability of the Arm, Shoulder, and Hand score and the Euroqol improved over time. After surgery and hand therapy, disability decreased independent of single or multiple operated fingers. The total active finger extension improved enough for the patients to reach a functional range of motion despite an impairment of active finger flexion still present 12 months after treatment. Therapeutic IV. Copyright © 2014 American Society for Surgery of the Hand. Published by Elsevier Inc. All rights reserved.

  11. Motion of a Pendulum

    Directory of Open Access Journals (Sweden)

    Jared Wynn

    2010-01-01

    Full Text Available The objective of this project is to derive and solve the equation of motion for a pendulum swinging at small angles in one dimension. The pendulum may be either a simple pendulum like a ball hanging from a string or a physical pendulum like a pendulum on a clock. For simplicity, we only considered small rotational angles so that the equation of motion becomes a harmonic oscillator.

  12. HENRY'S "HAND OF GOD"

    Directory of Open Access Journals (Sweden)

    Željko Kaluđerović

    2014-04-01

    Full Text Available In this paper the author discusses the views and statements of the French football player Thierry Henry he gave after his illegal play during the playoff match between France and the Republic of Ireland to claim one of the final spots in the World Cup 2010 in South Africa. First, by controlling the ball with his hand before passing it on for the goal Henry has shown disregard for the constitutive rules of football. Then, by stating that he is "not a referee" he demonstrated that for some players rules are not inherent to football and that they can be relativized, given that for them winning is the goal of the highest ontological status. Furthermore, he has rejected the rules of sportsmanship, thus expressing his opinion that the opponents are just obstacles which have to be removed in order to achieve your goals. Henry's action has disrupted major moral values, such as justice, honesty, responsibility and beneficence. The rules of fair play have totally been ignored both in Henry's action and in the Football Association of France's unwillingness to comment on whether a replay should take place. They have ignored one of the basic principles stated in the "Declaration of the International Fair Play Committee", according to which, fair play is much more than playing to the rules of the game; it's about the attitude of the sportsperson. It's about respecting your opponent and preserving his or her physical and psychological integrity. Finally, the author believes that the rules, moral values and fair play in football are required for this game to become actually possible to play

  13. HENRY'S "HAND OF GOD"

    Directory of Open Access Journals (Sweden)

    Željko Kaluđerović

    2014-04-01

    Full Text Available In this paper the author discusses the views and statements of the French football player Thierry Henry he gave after his illegal play during the playoff match between France and the Republic of Ireland to claim one of the final spots in the World Cup 2010 in South Africa. First, by controlling the ball with his hand before passing it on for the goal Henry has shown disregard for the constitutive rules of football. Then, by stating that he is "not a referee" he demonstrated that for some players rules are not inherent to football and that they can be relativized, given that for them winning is the goal of the highest ontological status. Furthermore, he has rejected the rules of sportsmanship, thus expressing his opinion that the opponents are just obstacles which have to be removed in order to achieve your goals. Henry's action has disrupted major moral values, such as justice, honesty, responsibility and beneficence. The rules of fair play have totally been ignored both in Henry's action and in the Football Association of France's unwillingness to comment on whether a replay should take place. They have ignored one of the basic principles stated in the "Declaration of the International Fair Play Committee", according to which, fair play is much more than playing to the rules of the game; it's about the attitude of the sportsperson. It's about respecting your opponent and preserving his or her physical and psychological integrity. Finally, the author believes that the rules, moral values and fair play in football are required for this game to become actually possible to play.

  14. Full-motion video analysis for improved gender classification

    Science.gov (United States)

    Flora, Jeffrey B.; Lochtefeld, Darrell F.; Iftekharuddin, Khan M.

    2014-06-01

    The ability of computer systems to perform gender classification using the dynamic motion of the human subject has important applications in medicine, human factors, and human-computer interface systems. Previous works in motion analysis have used data from sensors (including gyroscopes, accelerometers, and force plates), radar signatures, and video. However, full-motion video, motion capture, range data provides a higher resolution time and spatial dataset for the analysis of dynamic motion. Works using motion capture data have been limited by small datasets in a controlled environment. In this paper, we explore machine learning techniques to a new dataset that has a larger number of subjects. Additionally, these subjects move unrestricted through a capture volume, representing a more realistic, less controlled environment. We conclude that existing linear classification methods are insufficient for the gender classification for larger dataset captured in relatively uncontrolled environment. A method based on a nonlinear support vector machine classifier is proposed to obtain gender classification for the larger dataset. In experimental testing with a dataset consisting of 98 trials (49 subjects, 2 trials per subject), classification rates using leave-one-out cross-validation are improved from 73% using linear discriminant analysis to 88% using the nonlinear support vector machine classifier.

  15. Hand preferences for bimanual coordination in 29 bonobos (Pan paniscus).

    Science.gov (United States)

    Chapelain, Amandine S; Hogervorst, Eef

    2009-01-03

    Brain lateralization has long been thought to be unique to humans. To investigate the origins and functions of this feature, researchers study behavioural laterality in other animals. Despite a substantial database, manual laterality in non-human primates remains a controversial topic. We give here a review of the main findings on manual preference in great apes. This article presents data on hand preferences for a bimanual coordination in 29 bonobos (Pan paniscus). The study aims to provide data on manual laterality for a complex bimanual task in this very interesting and rarely studied species. Hand preferences were assessed using the 'tube task'. This task has been used with other species, which allows reliable data comparisons. The task requires a bimanual coordinated precise action: the subject holds the tube with one hand while reaching for food inside with the other hand. As a complex task, this measure has been shown to be efficient in revealing hand preferences. It has revealed group-level right bias in chimpanzees. Bonobos had never been tested. We recorded both independent bouts (counting only the first pattern of a sequence of identical actions) and frequency (counting every action). The bonobos exhibited strong hand preferences. With frequency, 11 bonobos were classified as right-handed, 15 were left-handed and 3 had no preference. With bouts, 8 bonobos were right-handed, 9 were left-handed and 12 had no preference. No group-level bias appeared. The results are discussed in relation with previous findings and theories on brain lateralization.

  16. Recognition of Hand Gestures Observed by Depth Cameras

    Directory of Open Access Journals (Sweden)

    Tomasz Kapuscinski

    2015-04-01

    Full Text Available We focus on gesture recognition based on 3D information in the form of a point cloud of the observed scene. A descriptor of the scene is built on the basis of a Viewpoint Feature Histogram (VFH. To increase the distinctiveness of the descriptor the scene is divided into smaller 3D cells and VFH is calculated for each of them. A verification of the method on publicly available Polish and American sign language datasets containing dynamic gestures as well as hand postures acquired by a time-of-flight (ToF camera or Kinect is presented. Results of cross-validation test are given. Hand postures are recognized using a nearest neighbour classifier with city-block distance. For dynamic gestures two types of classifiers are applied: (i the nearest neighbour technique with dynamic time warping and (ii hidden Markov models. The results confirm the usefulness of our approach.

  17. Hand Anthropometry and SMS Satisfaction

    Science.gov (United States)

    Balakrishnan, Vimala; Yeow, Paul H. P.

    The effect of hand anthropometry on Short Message Service (SMS) satisfaction was investigated using structured questionnaire interviews with 110 subjects, aged between 17-25 years old. Hand size was measured to assess its effect on mobile phone design factors satisfaction whereas thumb circumference and length were measured for keypad design factors. Small hand-sized subjects were found to be more satisfied with mobile phone dimensions than large hand-sized subjects. Thumb circumference significantly affects users` satisfaction towards key size and space between keys whereas thumb length significantly affects keypad layout satisfaction. Both thumb circumference and length significantly correlate negatively with the corresponding keypad design factors. Results confirm that hand anthropometry do affect users messaging satisfaction. These findings should prove useful to mobile phone designers who could look into the possibility of designing customized mobile phones that cater to large hand and thumb sized users, so as to increase their subjective satisfaction.

  18. Exposures related to hand eczema

    DEFF Research Database (Denmark)

    Ibler, K.S.; Jemec, G.B.E.; Agner, T.

    2012-01-01

    Background. Hand eczema is common in healthcare workers, owing to intensive exposure to wet work and skin irritants. Targeted interventions and vocational guidance based on documented exposures and risk factors are needed. Objectives. The aims of the study were to investigate the relationship...... between exposures (domestic and at work) and prevalence and severity of hand eczema. Methods. Self-administered questionnaires were sent to 3181 healthcare workers in Denmark. Results. Two thousand two hundred and sixty-nine (71%) workers responded to the questionnaire. Frequent hand washing...... was significantly related to the presence of hand eczema. Having children hand eczema. A lower prevalence of hand eczema was found among those using moisturizers at work, and a higher prevalence was found among those using moisturizers at home...

  19. Neural correlates of quantity processing of Chinese numeral classifiers.

    Science.gov (United States)

    Her, One-Soon; Chen, Ying-Chun; Yen, Nai-Shing

    2017-11-08

    Linguistic analysis suggests that numeral classifiers carry quantity information. However, previous neuroimaging studies have shown that classifiers did not elicit higher activation in the intraparietal sulcus (IPS), associated with representation of numerical magnitude, than tool nouns did. This study aimed to control the semantic attributes of classifiers and reexamine the underlying neural correlates. Participants performed a semantic distance comparison task in which they judged which one of the two items was semantically closer to the target. Processing classifiers elicited higher activation than tool nouns in the bilateral inferior parietal lobules (IPL), middle frontal gyri (MFG), right superior frontal gyrus (SFG), and left lingual gyrus. Conjunction analysis showed that the IPS was commonly activated for classifiers, numbers, dots, and number words. The results support that classifiers activate quantity representations, implicating that the system of classifiers is part of magnitude cognition. Furthermore, the results suggest that the IPS represents magnitude independent of notations. Copyright © 2017 Elsevier Inc. All rights reserved.

  20. Neutrophilic dermatosis of dorsal hands

    OpenAIRE

    KAUR, S.; Gupta, D.; Garg, B; Sood, N.

    2015-01-01

    Sweet′s syndrome is characterized by erythematous tender nodules and plaques over face and extremities. Fever, leukocytosis with neutrophilia, and a neutrophilic infiltrate in the dermis are characteristic features. Neutrophilic dermatosis of dorsal hands is a rare localized variant of Sweet′s syndrome occurring predominantly over dorsa of hands. Various degrees of vascular damage may be observed on histopathology of these lesions. Both Sweet′s syndrome and its dorsal hand variant have been r...