• DocumentCode
    1710402
  • Title

    An Intelligent Wheelchair to enable mobility of severely disabled and elder people

  • Author

    Ko, Eunjeong ; Ju, Jin Sun ; Kim, Eun Yi ; Goo, Nam Seo

  • Author_Institution
    Dept. of Adv. Technol. Fusion iIT, Konkuk Univ., Konkuk
  • fYear
    2009
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    In this paper, we develop an Intelligent Wheelchair (IW) system for the severely disabled people. The main function of our system is two-fold: 1) user intention recognition using vision technique and 2) sensor-based obstacle detection and path finding. The proposed system enable a user to control IW using his mouth shape and face movement. Furthermore, to fully guarantee user´s safety, the 10 range sensors are used to detect obstacles in environment and avoid them. To assess the effectiveness of the proposed IW, it was tested with 34 users and then the results show that it can provide a user unable to drive a standard joystick with friendly and convenient system.
  • Keywords
    collision avoidance; face recognition; handicapped aids; user interfaces; wheelchairs; disabled people aid; elder people aid; face movement; intelligent wheelchair; mobility; mouth shape movement; path finding; sensor-based obstacle detection; user intention recognition; vision technique; Control systems; Data acquisition; Face detection; Face recognition; Intelligent sensors; Mouth; Safety; Shape control; System testing; Wheelchairs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics, 2009. ICCE '09. Digest of Technical Papers International Conference on
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4244-4701-5
  • Electronic_ISBN
    978-1-4244-2559-4
  • Type

    conf

  • DOI
    10.1109/ICCE.2009.5012249
  • Filename
    5012249