DocumentCode
2995231
Title
Artificial neural networks for estimation of joint angle from EMG signals
Author
Suryanarayanan, Srikanth ; Reddy, Narender P. ; Gupta, Vineet
Author_Institution
Dept. of Biomed. Eng., Akron Univ., OH, USA
Volume
1
fYear
1995
fDate
20-25 Sep 1995
Firstpage
823
Abstract
A set of neural networks was developed for EMG based control of telemanipulators. The neural network system provides an estimate of the joint angle at the elbow using surface EMG of biceps in real time. The joint angle was measured by a goniometer to calibrate the system and train the networks. Preliminary results during testing indicate an error of less than 20% between the joint angle estimate of the network and the actual joint angle
Keywords
angular measurement; backpropagation; biocontrol; electromyography; intelligent control; manipulators; multilayer perceptrons; telerobotics; EMG based control; EMG signals; actual joint angle; artificial neural networks; biceps; calibration; goniometer; joint angle estimation; real time; surface EMG; telemanipulators; training; Artificial neural networks; Elbow; Electromyography; Goniometers; Humans; Joints; Magnetic devices; Neural networks; Space technology; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference
Conference_Location
Montreal, Que.
Print_ISBN
0-7803-2475-7
Type
conf
DOI
10.1109/IEMBS.1995.575381
Filename
575381
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