A multivariable ANFIS model for sEMG based remote control system

Author

Zhen Wang ; Dong Qian ; Bei Wang ; Xingyu Wang

Author_Institution

Dept. of Autom., East China Univ. of Sci. & Technol., Shanghai, China

fYear

2014

Firstpage

5309

Lastpage

5312

Abstract

The sEMG (Surface Electromyogram) is a kind of physiological signal corresponding to the muscle action. The analysis of sEMG signal can obtain the charateristics of the motion information. In this paper, a remote control system based on sEMG was developed. The system consists of host and client computer. A sEMG signal recording device was designed. The recorded data was transit by Zigbee wireless communication technique to a host computer. The obtained data was analysed based on a developed multivariable ANFIS model in order to recognize the corresponding hand movement. The recognition result was shown on a client computer by a local area network. The developed control system mimics the remote clinical diagnosis circumstance, which was realizable for real application.

Keywords

Zigbee; electromyography; medical control systems; medical signal processing; multivariable control systems; patient diagnosis; telecontrol; Surface Electromyogram; Zigbee wireless communication; local area network; motion information; multivariable ANFIS model; muscle action; physiological signal; remote clinical diagnosis circumstance; sEMG based remote control system; sEMG signal analysis; sEMG signal recording device; Computers; Control systems; Electromyography; Feature extraction; Wireless communication; Wrist; Zigbee; Zigbee; local area network; multivariate fuzzy model; remote control system; sEMG;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation (WCICA), 2014 11th World Congress on

Type

conf

DOI

10.1109/WCICA.2014.7053620

Filename

7053620