• DocumentCode
    546844
  • Title

    A brain-computer interface for intelligent wheelchair mobility

  • Author

    Lin, C.T. ; Euler, C. ; Mekhtarian, A. ; Gil, A. ; Hern, L. ; Prince, D. ; Shen, Y. ; Horvath, J.

  • Author_Institution
    Dept. of Mech. Eng., California State Univ., Northridge, CA, USA
  • fYear
    2011
  • fDate
    March 28 2011-April 1 2011
  • Firstpage
    316
  • Lastpage
    316
  • Abstract
    The project addresses a solution to assisting people confined to wheelchairs, who may be physically, perceptively, or cognitively challenged, in restoring or augmenting their ability to steer a wheelchair by integrating brainwave decoding, onboard sensing, artificial neural networking, and machine learning in an intelligent wheelchair system.
  • Keywords
    brain; brain-computer interfaces; electroencephalography; handicapped aids; learning (artificial intelligence); medical signal processing; neural nets; artificial neural networking; brain-computer interface; brainwave decoding; intelligent wheelchair mobility; intelligent wheelchair system; machine learning; onboard sensing; Brain computer interfaces; Electroencephalography; Machine learning; Machine learning algorithms; Motion control; Sensors; Wheelchairs; autonomous; brain-computer interface; electroencephalography; intelligent wheelchair; mobility; neural-network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Health Care Exchanges (PAHCE), 2011 Pan American
  • Conference_Location
    Rio de Janeiro
  • Print_ISBN
    978-1-61284-915-7
  • Type

    conf

  • DOI
    10.1109/PAHCE.2011.5871916
  • Filename
    5871916