• 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