Proceedings ArticleDOI
Wearable EMG-based HCI for Electric-Powered Wheelchair Users with Motor Disabilities
Inhyuk Moon,Myungjoon Lee,Jun-Uk Chu,Mu-Seong Mun +3 more
- pp 2649-2654
TLDR
Experimental results using the wearable EMG based HCI and the electric-powered wheelchair developed show the proposed wearable EMg-based HCI is feasible for the users with severe motor disabilities.Abstract:
Electromyogram (EMG) signal generated by voluntary contraction of muscles is often used in rehabilitation devices because of its distinct output characteristics compared to other bio-signals. This paper proposes a wearable EMG-based human-computer interface (HCI) for electric-powered wheelchair users with motor disabilities by C4 or C5 level spinal cord injury. User expresses his intention as shoulder elevation gestures, which are recognized by comparing EMG signals acquired from the levator scapulae muscles with a preset threshold value. In this paper HCI command to control electric-powered wheelchair is made of combinations of left-, right-and both-shoulders elevation gestures. The proposed wearable HCI hardware consists of two active surface electrodes, a high-speed micro-controller, a Bluetooth module, and a battery. Experimental results using the wearable EMG based HCI and the electric-powered wheelchair developed show the proposed wearable EMG-based HCI is feasible for the users with severe motor disabilities.read more
Citations
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Current state of digital signal processing in myoelectric interfaces and related applications
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A Hybrid Motion Classification Approach for EMG-Based Human–Robot Interfaces Using Bayesian and Neural Networks
TL;DR: A task model using a Bayesian network for motion prediction, which is able to predict occurrence probabilities of the motions concerned in the task and a hybrid motion classification framework has been developed based on the BN motion prediction.
References
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Journal ArticleDOI
The Use of Surface Electromyography in Biomechanics
TL;DR: In this paper, the authors explored the various uses of surface electromyography in the field of biomechanics, including those involving the activation timing of muscles, the force/EMG signal relationship, and the use of the EMG signal as a fatigue index.
Journal ArticleDOI
A robust, real-time control scheme for multifunction myoelectric control
Kevin Englehart,B. Hudgins +1 more
TL;DR: It is shown that, by exploiting the processing power inherent in current computing systems, substantial gains in classifier accuracy and response time are possible and other important characteristics for prosthetic control systems are met.
Book
MicroC/OS-II: The Real Time Kernel
TL;DR: This book -- now featuring the new release of Version 2.0 together with 200 new pages of examples and explanations -- gives readers a complete, highly sophisticated real-time operating system and an explanation of real- time computing so clear and concise that it has been widely adopted as a text.
Journal Article
A practical EMG-based human-computer interface for users with motor disabilities.
TL;DR: The purpose of this study is to design and develop an alternate input device that can be used even by individuals with severe motor disabilities and the result is an affordable DSP-based system that, when combined with an on-screen keyboard, enables the user to fully operate a computer without using any extremities.
Journal ArticleDOI
EMG pattern recognition based on artificial intelligence techniques
Sang-Hui Park,Seok-Pil Lee +1 more
TL;DR: An electromyographic (EMG) pattern recognition method to identify motion commands for the control of a prosthetic arm by evidence accumulation based on artificial intelligence with multiple parameters is presented.
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