Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications
Online ISSN : 2188-4749
Print ISSN : 2188-4730
第40回ISCIE「確率システム理論と応用」国際シンポジウム(2008年11月, 京都)
Pattern recognition of EEG signals during motor imagery by using robust method
Kazuo KawamuraTomonari YamaguchiMitsuhiko FujioKatuhiro InoueGert Pfurtscheller
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ジャーナル フリー

2009 年 2009 巻 p. 237-242

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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.
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© 2009 ISCIE Symposium on Stochastic Systems Theory and Its Applications
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