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
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;
Conference_Titel :
World Automation Congress (WAC), 2010
Conference_Location :
Kobe
Print_ISBN :
978-1-4244-9673-0
Electronic_ISBN :
2154-4824