DocumentCode :
1595702
Title :
The electric wheelchair control system using surface-electromygram of facial muscles
Author :
Tamura, Hiroki ; Manabe, Takao ; Tanno, Koichi ; Fuse, Yasushi
Author_Institution :
Fac. of Eng., Univ. of Miyazaki, Miyazaki, Japan
fYear :
2010
Firstpage :
1
Lastpage :
6
Abstract :
The goal of Human-Computer Interface (or called Human-Robot interface) research is to provide humans with a new communication channel that allows translating Human´s will states via a computer into application specific actions. This paper presents a novel hands-free control system for controlling the electric wheelchair, which is based on Bio-signals as surface electromyogram signals. The Bioelectric signals are picked up from facial muscles then the Bio-signals are passed through an amplifier and a high pass filter. Motion control commands (Forward, Left, Right, Forward to the Right, Forward to the left and Stop) are classified by simple rule. These commands are used for controlling the electric wheelchair.
Keywords :
electromyography; handicapped aids; man-machine systems; medical control systems; wheelchairs; Human-Computer Interface; Human-Robot interface; electric wheelchair control system; facial muscle; surface electromygram; Electrodes; Facial muscles; Motion control; Muscles; Proposals; Wheelchairs; Electric Wheelchair; Motion Control Command Rule; Surface Electromyogram Signal;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
World Automation Congress (WAC), 2010
Conference_Location :
Kobe
ISSN :
2154-4824
Print_ISBN :
978-1-4244-9673-0
Electronic_ISBN :
2154-4824
Type :
conf
Filename :
5665652
Link To Document :
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