• DocumentCode
    2400753
  • Title

    A cap as interface for wheelchair control

  • Author

    Law, Cedric K H ; Leung, Martin Y Y ; Xu, Y. ; Tso, S.K.

  • Author_Institution
    Dept. of Autom. & Comput. Aided Eng., The Chinese Univ. of Hong Kong, China
  • Volume
    2
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    1439
  • Abstract
    Many disabled people do not have the dexterity necessary to use a joystick or other hand interface for controlling a standard robotic wheelchair. In many cases, they suffer from diseases which have damaged most of the nervous and muscular system in their body, but leave the brain and eye movement unimpaired. To this end, we developed an interface which enables the user to guide a robotic wheelchair by eye-gaze, using a minimal number of electrodes attached on the head. The device can measure the electro-oculographic potential of the eye-gaze movement together with the electromyographic signals from the jaw muscle motion. By coupling these simple actions, one is able to navigate a wheelchair solely by the eye and jaw movements, which provides an aid to mobility for severely disable people.
  • Keywords
    computerised navigation; electrodes; electromyography; handicapped aids; user interfaces; EMG; EOG; disabled people; electrodes; electromyographic signals; electrooculographic potential; eye gaze movement; jaw muscle motion; navigation; robotic wheelchair; user interface; Electrodes; Electrooculography; Eyes; Intelligent robots; Manufacturing automation; Mobile robots; Navigation; Robot sensing systems; Robotics and automation; Wheelchairs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems, 2002. IEEE/RSJ International Conference on
  • Print_ISBN
    0-7803-7398-7
  • Type

    conf

  • DOI
    10.1109/IRDS.2002.1043957
  • Filename
    1043957