• DocumentCode
    3579247
  • Title

    Eye controlled electric wheelchair

  • Author

    Thakur, Bharat ; Kulshrestha, Kush

  • Author_Institution
    University Institute of Engineering & Technology, Panjab University Chandigarh, India
  • fYear
    2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    An assistive mechanism for implementing comfortable wheelchair locomotion for severely disabled people is presented. The main feature of the prototype is that the estimation of the direction of movement is decided solely by the patient without stressing him physically. This is successfully achieved by investigating the user´s natural gaze behavior using eyeball tracking in NI LabView. The prototype consists of a camera, image processing software and a motor controller to drive the wheelchair. Besides being a reliable, convenient and extremely useful, this prototype promises a cheap solution to the latest technology access. Tracking algorithm utilized is shape adapted mean shift algorithm in NI Vision assistant. The eyeball tracking outcomes are then used to produce suitable wheelchair motion taking the user to the intended location. The prototype encompasses a critical blend of knowledge and skills and should find high acceptance within the target group of severely disabled, especially whose communications are limited only to eye movements.
  • Keywords
    Algorithm design and analysis; Cameras; DC motors; Nickel; Tracking; Wheelchairs; Wheels; Data Acquisition; Machine vision; eyeball tracking; vision assistant;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Computing Research (ICCIC), 2014 IEEE International Conference on
  • Print_ISBN
    978-1-4799-3974-9
  • Type

    conf

  • DOI
    10.1109/ICCIC.2014.7238451
  • Filename
    7238451