Controlling a powered exoskeleton system via electromyographic signals

Authors:
Hui Yan;Ray P. S. Han;Yu Wang;Jieru Chi
Affiliations:
College of Automation Engrg., Qingdao University, Qingdao, Shandong, China;College of Automation Engineering, Qingdao University, Qingdao, Shandong, China;College of Mechanical Engrg., Qingdao University, Qingdao, Shandong, China;College of Automation Engrg., Qingdao University, Qingdao, Shandong, China
Venue:
ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
Year:
2009

Citing 2
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The Development of a Virtual Myoelectric Prosthesis Controlled by an EMG Pattern Recognition System Based on Neural Networks

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A myosignal-based powered exoskeleton system

IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans

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Abstract

An exoskeleton system is a compact, light-weight robotic mechanism that a human can put-on for the purpose of overcoming inadequate muscle strength during the performance of physical tasks. In doing so, this integrated human-machine system offers multiple opportunities for creating assistive technologies that can be used in biomedical, industrial, aerospace and everyday life applications. The scope of the present research is to develop an advanced human-machine interface based on the electromyographic (EMG) signals. The resulting EMG control command is concerned with the detection, processing, classification and application to drive the exoskeleton system.