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
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;
Conference_Titel :
Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference
Conference_Location :
Montreal, Que.
Print_ISBN :
0-7803-2475-7
DOI :
10.1109/IEMBS.1995.575381
