• DocumentCode
    1795773
  • Title

    Development of an Autonomous BCI Wheelchair

  • Author

    Ng, Danny Wee-Kiat ; Ying-Wei Soh ; Sing-Yau Goh

  • Author_Institution
    Dept. of Mechatron. & Biomed. Eng., Univ. Tunku Abdul Rahman, Kuala Lumpur, Malaysia
  • fYear
    2014
  • fDate
    9-12 Dec. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Restoration of mobility for the movement impaired is one of the important goals for numerous Brain Computer Interface (BCI) systems. In this study, subjects used a steady state visual evoked potential (SSVEP) based BCI to select a desired destination. The selected destination was communicated to the wheelchair navigation system that controlled the wheelchair autonomously avoiding obstacles on the way to the destination. By transferring the responsibility of controlling the wheel chair from the subject to the navigation software, the number of BCI decisions needed to be completed by the subject to move to the desired destination is greatly reduced.
  • Keywords
    brain-computer interfaces; collision avoidance; electric vehicles; handicapped aids; medical signal processing; visual evoked potentials; BCI decision; SSVEP based BCI; autonomous BCI wheelchair; brain-computer interface; obstacle avoidance; steady state visual evoked potential; wheelchair navigation system; Brain-computer interfaces; Electroencephalography; Navigation; Sensors; Software; Visualization; Wheelchairs; Brain Computer Interface; Steady State Visual Evoke Potential; Wheelchair Navigation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence in Brain Computer Interfaces (CIBCI), 2014 IEEE Symposium on
  • Conference_Location
    Orlando, FL
  • Type

    conf

  • DOI
    10.1109/CIBCI.2014.7007784
  • Filename
    7007784