• DocumentCode
    3580046
  • Title

    Face tracking control system for wheelchair with depth image sensor

  • Author

    Kawarazaki, Noriyuki ; Yamaoka, Masahiro

  • Author_Institution
    Dept. of Robot. & Mechatron., Kanagawa Inst. of Technol., Kanagawa, Japan
  • fYear
    2014
  • Firstpage
    781
  • Lastpage
    786
  • Abstract
    In usual an electric-powered wheelchair is controlled by the joystick. However, joystick control cannot be applied when the user performs certain tasks such as cooking that require holding an object with both hands. We have developed a wheelchair control system that uses the direction of the user\´s face as the direction-control input for the wheelchair. The system is composed of an electric-powered wheelchair, a depth image sensor, and a PC. We use a depth image sensor to recognize the direction of the user\´s face rapidly. The proposed system offers "hands freedom" and helps users perform various daily activities. We performed several experiments to verify the control approach and demonstrated its efficiency.
  • Keywords
    electric vehicles; face recognition; handicapped aids; human-robot interaction; image sensors; mobile robots; object tracking; robot vision; wheelchairs; PC; assistive systems; depth image sensor; direction-control input; electric-powered wheelchair control system; face tracking control system; Face; Face recognition; Image sensors; Sensitivity; Speech recognition; Tracking; Wheelchairs; Depth image sensor; Face tracking; Voice recognition; Wheelchair control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Automation Robotics & Vision (ICARCV), 2014 13th International Conference on
  • Type

    conf

  • DOI
    10.1109/ICARCV.2014.7064403
  • Filename
    7064403