• DocumentCode
    741874
  • Title

    EEG-Based Brain-Controlled Mobile Robots: A Survey

  • Author

    Luzheng Bi ; Xin-an Fan ; Yili Liu

  • Author_Institution
    Sch. of Mech. Eng., Beijing Inst. of Technol., Beijing, China
  • Volume
    43
  • Issue
    2
  • fYear
    2013
  • fDate
    3/1/2013 12:00:00 AM
  • Firstpage
    161
  • Lastpage
    176
  • Abstract
    EEG-based brain-controlled mobile robots can serve as powerful aids for severely disabled people in their daily life, especially to help them move voluntarily. In this paper, we provide a comprehensive review of the complete systems, key techniques, and evaluation issues of brain-controlled mobile robots along with some insights into related future research and development issues. We first review and classify various complete systems of brain-controlled mobile robots into two categories from the perspective of their operational modes. We then describe key techniques that are used in these brain-controlled mobile robots including the brain-computer interface techniques and shared control techniques. This description is followed by an analysis of the evaluation issues of brain-controlled mobile robots including participants, tasks and environments, and evaluation metrics. We conclude this paper with a discussion of the current challenges and future research directions.
  • Keywords
    electroencephalography; handicapped aids; medical signal processing; mobile robots; EEG-based brain-controlled mobile robots; brain-computer interface techniques; disabled people; evaluation issue analysis; operational modes; shared control techniques; Collision avoidance; Electroencephalography; Mobile robots; Robot sensing systems; Wheelchairs; Brain-computer interface (BCI); EEG; brain-controlled mobile robot; human factors; performance evaluation; shared control;
  • fLanguage
    English
  • Journal_Title
    Human-Machine Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    2168-2291
  • Type

    jour

  • DOI
    10.1109/TSMCC.2012.2219046
  • Filename
    6461528