Pattern recognition of EEG signals during motor imagery by using robust method

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Author(s)

    • Kawamura Kazuo
    • Department of Systems Design and Informatics, Kyushu Institute of Technology
    • Fujio Mitsuhiko
    • Department of Systems Design and Informatics, Kyushu Institute of Technology
    • Inoue Katuhiro
    • Department of Systems Design and Informatics, Kyushu Institute of Technology

Abstract

Until now, we have studied for the method of the statistical pattern recognition based on auto-regressive (AR) model for the purpose of identifying the EEG signals during motor imagery. The statistical pattern recognition of the EEG signals during three motor imagery (left hand, right hand and right foot) were performed by using the method. As a result, we confirmed that subjects became to able to handle a robot with about a 10 days training. Though, some of subjects were confused to this system since the training system was composed by previous time experiment that included noise element. In this paper, the robust method was introduced to estimate parameter in order to construct more stable BCI system.

Journal

  • Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications

    Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications 2009(0), 237-242, 2009

    The ISCIE Symposium on Stochastic Systems Theory and Its Applications

Codes

  • NII Article ID (NAID)
    130007377326
  • Text Lang
    ENG
  • ISSN
    2188-4730
  • Data Source
    J-STAGE 
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