Robot Control Using Electromyography (EMG) Signals of the Wrist-Reference-Cited by-同舟云学术

Robot Control Using Electromyography (EMG) Signals of the Wrist

Published:2005 Issue:2 Volume:2 Page:97-102
ISSN:1176-2322
Container-title:Applied Bionics and Biomechanics
language:en
Short-container-title:Applied Bionics and Biomechanics

Author:

DaSalla C.¹,Kim J.¹,Koike Y.¹²

Affiliation:

1. Tokyo Institute of Technology, R2-15, 4259 Nagatsuta-cho, Midori-ku, Yokohama 226-8503, Japan

2. CREST, Japan Science and Technology Agency, 4-1-8 Honcho Kawaguchi, Saitama 332-0012, Japan

Abstract

The aim of this paper is to design a human–interface system, using EMG signals elicited by various wrist movements, to control a robot. EMG signals are normalized and based on joint torque. A three-layer neural network is used to estimate posture of the wrist and forearm from EMG signals. After training the neural network and obtaining appropriate weights, the subject was able to control the robot in real time using wrist and forearm movements.

Publisher

Hindawi Limited

Subject

Biomedical Engineering,Bioengineering,Medicine (miscellaneous),Biotechnology

Link

http://downloads.hindawi.com/journals/abb/2005/952754.pdf

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