• DocumentCode
    856166
  • Title

    A Noninvasive Brain-Actuated Wheelchair Based on a P300 Neurophysiological Protocol and Automated Navigation

  • Author

    Iturrate, Iñaki ; Antelis, Javier M. ; Kübler, Andrea ; Minguez, Javier

  • Author_Institution
    Dept. de Inf. e Ing. de Sist., Univ. de Zaragoza, Zaragoza
  • Volume
    25
  • Issue
    3
  • fYear
    2009
  • fDate
    6/1/2009 12:00:00 AM
  • Firstpage
    614
  • Lastpage
    627
  • Abstract
    This paper describes a new noninvasive brain-actuated wheelchair that relies on a P300 neurophysiological protocol and automated navigation. When in operation, the user faces a screen displaying a real-time virtual reconstruction of the scenario and concentrates on the location of the space to reach. A visual stimulation process elicits the neurological phenomenon, and the electroencephalogram (EEG) signal processing detects the target location. This location is transferred to the autonomous navigation system that drives the wheelchair to the desired location while avoiding collisions with obstacles in the environment detected by the laser scanner. This concept gives the user the flexibility to use the device in unknown and evolving scenarios. The prototype was validated with five healthy participants in three consecutive steps: screening (an analysis of three different groups of visual interface designs), virtual-environment driving, and driving sessions with the wheelchair. On the basis of the results, this paper reports the following evaluation studies: 1) a technical evaluation of the device and all functionalities; 2) a users´ behavior study; and 3) a variability study. The overall result was that all the participants were able to successfully operate the device with relative ease, thus showing a great adaptation as well as a high robustness and low variability of the system.
  • Keywords
    brain-computer interfaces; collision avoidance; electroencephalography; handicapped aids; mobile robots; navigation; wheelchairs; EEG; P300 neurophysiological protocol; automated navigation; autonomous navigation system; collision avoidance; electroencephalogram signal processing; laser scanner; noninvasive brain-actuated wheelchair; real-time virtual reconstruction; target location; visual stimulation process; Neurorobotics; rehabilitation robotics;
  • fLanguage
    English
  • Journal_Title
    Robotics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1552-3098
  • Type

    jour

  • DOI
    10.1109/TRO.2009.2020347
  • Filename
    4914843