Title :
Study of Proportional Control Electromyography Prosthetic Hand
Author :
Xu-gang, Xi ; Wen-guo, Li
Author_Institution :
Intell. Control & Robot. Inst., Hangzhou Dianzi Univ., Hangzhou, China
Abstract :
This paper designs a proportional control system for EMG(electromyography) prosthetic hand. The signal energy of SEMG(surface electromyography) is used for the feature value, and five motion patterns of hand are identified by using the pattern classification of binary tree. Moreover, using multi-channel signals energy of SEMG weighted to obtain proportional control coefficient which could drive DC motors by PWM to realize proportional velocity control. The experimental results indicate that the proportional control coefficient can effectively control velocity.
Keywords :
artificial limbs; electromyography; motion estimation; pattern classification; proportional control; trees (mathematics); velocity control; DC motor; EMG prosthetic hand; PWM; SEMG; binary tree; electromyography prosthetic hand; motion pattern; multichannel signal; pattern classification; proportional control system; proportional velocity control; surface electromyography; Conferences; Electromyography; Pattern recognition; Proportional control; Prosthetic hand; Pulse width modulation; Robots; SEMG; proportional control; prosthetic hand;
Conference_Titel :
Electrical and Control Engineering (ICECE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6880-5
DOI :
10.1109/iCECE.2010.506
