• DocumentCode
    2196135
  • Title

    Eye movement detection for wheelchair control application

  • Author

    Singh, Mandeep ; Jain, Prateek ; Chopra, Shaurya

  • Author_Institution
    Electrical & Instrumentation Engineering Department, Thapar University, Patiala, India
  • fYear
    2015
  • fDate
    24-25 Jan. 2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    An electric wheelchair is an aid for disabled people who have lost the ability to move. A conventional wheelchair is manually driven which cannot be used by full body impaired people, so a model is needed which can be beneficial to them. There are various motor operated wheelchairs available but none of them are perfectly accurate. Inaccuracy of wheelchair can have disastrous results for the operator. So, a design is required to navigate wheelchair which has high accuracy. This paper deals with deriving a method to navigate the wheelchair with high accuracy by collaborating E.O.G. method and interfacing a camera in front of eye to get maximum accuracy and giving highest priority to the safety of user.
  • Keywords
    Accuracy; Cameras; Electrodes; Electrooculography; Instruments; Microcontrollers; Wheelchairs; E.O.G.; Electrooculography; eye controlled wheelchair; microcontroller;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical, Electronics, Signals, Communication and Optimization (EESCO), 2015 International Conference on
  • Conference_Location
    Visakhapatnam, India
  • Print_ISBN
    978-1-4799-7676-8
  • Type

    conf

  • DOI
    10.1109/EESCO.2015.7253877
  • Filename
    7253877