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

fYear

2010

fDate

25-27 June 2010

Firstpage

2055

Lastpage

2058

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Control Engineering (ICECE), 2010 International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-6880-5

Type

conf

DOI

10.1109/iCECE.2010.506

Filename

5630296