• DocumentCode
    2294762
  • Title

    Guiding Wheelchair Motion Based on EOG Signals Using Tangent Bug Algorithm

  • Author

    Al-Haddad, A.A. ; Sudirman, R. ; Omar, C.

  • Author_Institution
    Fac. of Electr. Eng., Univ. Teknol. Malaysia, Skudai, Malaysia
  • fYear
    2011
  • fDate
    20-22 Sept. 2011
  • Firstpage
    40
  • Lastpage
    45
  • Abstract
    In this work, we propose new method beside the classic method, to control the motorized wheelchair using EOG signals. The new method allows the user to look around freely while the wheelchair navigates automatically to the desired goal point. Only EOG signals are used to control the wheelchair, eye gazing and blinking. The user can still choose to control the wheelchair using the classic manual method in case the environment and obstacles structure does not help with the auto navigation method. In the new auto navigation method the micro controller can know the goal point direction and distance by calculating the gaze angle that the user is gazing at. Gaze angle and blinks are measured and used as inputs for the controlling method. Tangent Bug algorithm is used to navigate the wheelchair in Auto controlling method.
  • Keywords
    control engineering computing; electric vehicles; electro-oculography; handicapped aids; microcontrollers; motion control; wheelchairs; EOG signals; automatic wheelchair navigation; electrooculography; eye blinking; eye gazing; microcontroller; moterized wheelchair motion guidance; obstacles structure; tangent bug algorithm; Electrooculography; Manuals; Mobile robots; Navigation; Sensors; Wheelchairs; Tangent bug; blinking; electrooculography; eye movement; gaze angle; wheelchair;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence, Modelling and Simulation (CIMSiM), 2011 Third International Conference on
  • Conference_Location
    Langkawi
  • Print_ISBN
    978-1-4577-1797-0
  • Type

    conf

  • DOI
    10.1109/CIMSim.2011.17
  • Filename
    6076329