• DocumentCode
    3248302
  • Title

    Gesture recognition system for wheelchair control using a depth sensor

  • Author

    Kawarazaki, Noriyuki ; Diaz, Alejandro Israel Barragan

  • Author_Institution
    Dept. of Robot. & Mechatron., Kanagawa Inst. of Technol., Japan
  • fYear
    2013
  • fDate
    16-19 April 2013
  • Firstpage
    48
  • Lastpage
    53
  • Abstract
    In usual wheelchair user control the wheelchair using the joystick. However, the user can´t control the joystick when the user holds an object by both hands. We have developed a gesture control system of the wheelchair. This system consists of an electric-powered wheelchair with an experimental structure, a depth sensor, and a PC. In our system, the wheelchair moves according to the position of the hand. We use a depth sensor in order to recognize the hand gesture quickly. The proposed system offers a “hands freedom” sense to the user, simplifying their daily activities by using the hands movements as the direction-control input. The effectiveness of our system is clarified by several experimental results.
  • Keywords
    electric vehicles; gesture recognition; handicapped aids; human-robot interaction; image motion analysis; mobile robots; robot vision; wheelchairs; PC; depth sensor; direction-control input; electric-powered wheelchair; gesture control system; hand gesture recognition system; hand movement; hand position; hands freedom sense; joystick; wheelchair user control; Assistive technology; Computational intelligence; Decision support systems; Handheld computers; Linux; Microphones; Universal Serial Bus; Depth image sensor; Gesture recognition; Natural interaction library; Wheelchair interface;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence in Rehabilitation and Assistive Technologies (CIRAT), 2013 IEEE Symposium on
  • Conference_Location
    Singapore
  • Type

    conf

  • DOI
    10.1109/CIRAT.2013.6613822
  • Filename
    6613822