• DocumentCode
    612468
  • Title

    A P300 brain-computer interface for controlling a mobile robot by issuing a motion command

  • Author

    Xin´an Fan ; Luzheng Bi ; Yun Li ; Ke Jie ; Hongsheng Ding

  • Author_Institution
    Sch. of Mech. Eng., Beijing Inst. of Technol., Beijing, China
  • fYear
    2013
  • fDate
    25-28 May 2013
  • Firstpage
    707
  • Lastpage
    710
  • Abstract
    In this paper, to develop a mobile robot by using a BCI to issue a motion command including turning left and right and going forward, we propose a new P300 Brain-computer interface (BCI). Three kinds of P300 visual stimuli were first designed. And then we developed the corresponding BCI systems based on the three stimuli and compared their performance by using a linear discriminant analysis classifier with the features selected from EEG potentials via principal component analysis. Experimental results from three participants suggest that the BCIs with the last two kinds of stimuli can select a desired command with over 80% accuracy in about four seconds of selection time, showing that using the proposed BCI to control a robot is feasible.
  • Keywords
    brain-computer interfaces; electroencephalography; feature extraction; mobile robots; motion control; pattern classification; principal component analysis; BCI systems; EEG potentials; P300 brain-computer interface; P300 visual stimuli; feature selection; linear discriminant analysis classifier; mobile robot control; motion command; principal component analysis; Accuracy; Brain-computer interfaces; Electroencephalography; Mobile robots; Visualization; Wheelchairs; BCI; Brain-controlled mobile robots; EEG; Motion control; P300;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Complex Medical Engineering (CME), 2013 ICME International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4673-2970-5
  • Type

    conf

  • DOI
    10.1109/ICCME.2013.6548342
  • Filename
    6548342