• DocumentCode
    3163052
  • Title

    EEG control of an electric wheelchair for disabled persons

  • Author

    Ben Taher, Fatma ; Ben Amor, Nahla ; Jallouli, M.

  • Author_Institution
    Ecole Nat. d´Ing. de sfax ENIS, Univ. de Sfax, Sfax, Tunisia
  • fYear
    2013
  • fDate
    15-17 Dec. 2013
  • Firstpage
    27
  • Lastpage
    32
  • Abstract
    This paper presents a description of an intelligent control method for controlling an electric wheelchair for several disabled persons. It also describes a non invasive approach based on EEG brain signal that can command the wheelchair with cognitive data, eye movements and head gestures. Our technique aim is to cover the largest number of handicapped person.
  • Keywords
    cognition; electric vehicles; electroencephalography; gesture recognition; handicapped aids; human-robot interaction; intelligent control; medical robotics; medical signal processing; mobile robots; wheelchairs; EEG brain signal; EEG control; Emotiv headset; cognitive data; disabled persons; electric wheelchair; eye movements; handicapped person; head gestures; head movement; intelligent control method; Head; Mobile robots; Robot sensing systems; Tracking; Wheelchairs; Wireless sensor networks; EEG signals; Emotiv headset; eye movement; head movement; wheelchair;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Individual and Collective Behaviors in Robotics (ICBR), 2013 International Conference on
  • Conference_Location
    Sousse
  • Type

    conf

  • DOI
    10.1109/ICBR.2013.6729275
  • Filename
    6729275