A Hybrid Brain-Computer Interface System using SS-VEP and EEG Related to Motor Imagery

• Yamaguchi Takuro

  Department of Systems Design and Informatics, Kyushu Institute of Technology

• Nakao Keiji

  Department of Systems Design and Informatics, Kyushu Institute of Technology

• Maeda Makoto

  Department of Systems Design and Informatics, Kyushu Institute of Technology

• Inoue Katsuhiro

  Department of Systems Design and Informatics, Kyushu Institute of Technology

抄録

A brain-computer interface (BCI) is a communication system that uses as input the EEG (electroencephalography) of humans, to operate a computer without using a keyboard or the like. The purpose of BCIs is one of the communication tool of handicap users. In this paper we experimented with a hybrid BCI system using EEG of right and left hand motor imagery (MI) and steady-state visual evoked potential (SS-VEP). We examined the feature value performs frequency analysis for the experimental data. Furthermore, we evaluated the linear discriminant method as optimal feature extraction method. The identification rate obtained using a Bayesian classifier. As the result, all subjects was 90 % identification rate by linear discriminant method.

収録刊行物

• 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 2015 (0), 130-135, 2015

  システム制御情報学会ストカスティックシステムシンポジウム

キーワード

• Materials Science (miscellaneous)

詳細情報

• CRID: 1390282680740283136
• NII論文ID: 130005107481
• DOI: 10.5687/sss.2015.130
• ISSN: 21884749
• ISSN: 21884730
• Web Site: https://www.jstage.jst.go.jp/article/sss/2015/0/2015_130/_pdf
• 本文言語コード: en
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