Proceedings ArticleDOI
Actuation of prosthetic drive using EMG signal
P. Geethanjali,K. K. Ray,P. Vivekananda Shanmuganathan +2 more
- pp 1-5
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TLDR
An attempt to develop a four-channel EMG signal acquisition system as part of an ongoing research in the development of an active prosthetic device for actuation of prosthetic drive.Abstract:
Myoelectric or electromyogram (EMG) signals can be useful in intelligently recognizing intended limb motion of a person. This paper presents an attempt to develop a four-channel EMG signal acquisition system as part of an ongoing research in the development of an active prosthetic device. The acquired signals are used for identification and classification of six unique movements of hand and wrist, viz. hand open, hand close, wrist flexion, wrist extension, ulnar deviation and radial deviation. This information is used for actuation of prosthetic drive. The time domain features are extracted, and their dimension is reduced using principal component analysis. The reduced features are classified using two different techniques: k nearest neighbor and artificial neural networks, and the results are compared.read more
Citations
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sEMG-Based Gesture Recognition with Convolution Neural Networks
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Trends and Challenges in EMG Based Control Scheme of Exoskeleton Robots- A Review
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TL;DR: In this article, the authors present a review of EMG-based control schemes for exoskeleton robots and discuss the challenges faced in these schemes and the benefits of using EMG signals.
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Complexity analysis of EMG signals for patients after stroke during robot-aided rehabilitation training using fuzzy approximate entropy.
Rui Sun,Rong Song,Kai-Yu Tong +2 more
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Identification of motion from multi-channel EMG signals for control of prosthetic hand.
P. Geethanjali,K. K. Ray +1 more
TL;DR: The authors in this paper propose an effective and efficient pattern recognition technique from four channel electromyogram (EMG) signals for control of multifunction prosthetic hand using simple logistic regression technique and decision tree (DT) algorithm.
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Design, control, and sensory feedback of externally powered hand prostheses: a literature review.
Aimee Cloutier,James Yang +1 more
TL;DR: This review outlines the recent progress in the development of electrode-based prosthetic hands, detailing advancements in the areas of design, sensory feedback, and control through EMG and ENG signals (with a particular focus on interfaces with the PNS).
References
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Journal ArticleDOI
A new strategy for multifunction myoelectric control
TL;DR: A novel approach to the control of a multifunction prosthesis based on the classification of myoelectric patterns is described, which increases the number of functions which can be controlled by a single channel of myOElectric signal but does so in a way which does not increase the effort required by the amputee.
Journal ArticleDOI
A wavelet-based continuous classification scheme for multifunction myoelectric control
TL;DR: It is shown that four channels of myoelectric data greatly improve the classification accuracy, as compared to one or two channels, and a robust online classifier is constructed, which produces class decisions on a continuous stream of data.
Journal ArticleDOI
A heuristic fuzzy logic approach to EMG pattern recognition for multifunctional prosthesis control
A.B. Ajiboye,R.Fff. Weir +1 more
TL;DR: A heuristic fuzzy logic approach to multiple electromyogram (EMG) pattern recognition for multifunctional prosthesis control that is transparent to, and easily "tweaked" by, the prosthetist/clinician is presented.
Journal ArticleDOI
A Real-Time EMG Pattern Recognition System Based on Linear-Nonlinear Feature Projection for a Multifunction Myoelectric Hand
TL;DR: A novel real-time electromyogram (EMG) pattern recognition for the control of a multifunction myoelectric hand from four channel EMG signals using a wavelet packet transform and a linear-nonlinear feature projection composed of principal components analysis (PCA) and a self-organizing feature map (SOFM).
Journal ArticleDOI
An exoskeletal robot for human shoulder joint motion assist
TL;DR: In this article, an effective fuzzy-neuro controller, a moving mechanism of the center of rotation (CR) of the shoulder joint of the exoskeletal robot, and an intelligent interface were proposed to assist the motion of physically weak persons such as elderly persons or handicapped persons.
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