BCIのための様々な運動イメージの単一試行複数状態識別

カテゴリ: 論文誌(論文単位)

グループ名: 【E】センサ・マイクロマシン部門

発行日: 2015/07/01

タイトル(英語): A Single-trial Multi-class Classification of Various Motor Imagery Tasks for EEG-based Brain-computer Interface Communication

著者名: 参沢　匡将（富山大学大学院理工学研究部），松田　淳平（富山大学大学院理工学教育部知能情報工学専攻），広林　茂樹（富山大学大学院理工学研究部）

著者名(英語): Tadanobu Misawa (Graduate School of Science and Engineering, University of Toyama), Jumpei Matsuda (Graduate School of Science and Engineering for Education, University of Toyama), Shigeki Hirobayashi (Graduate School of Science and Engineering, University of Toyama)

キーワード: EEG，ブレイン・コンピュータ・インタフェース，運動イメージ，単一試行分類，ユーザビリティ，漢字　　Electroencephalography (EEG)，Brain-Computer Interface (BCI)，Motor Imagery (MI)，single-trial classification，usability，Kanji (Japanese characters)

要約(英語): We studied the brain activity (alpha and beta rhythms) with various motor imagery tasks for improvement of BCI usability using 14 EEG electrodes in five healthy subjects. For this purpose, we estimated two-class and four-class classification accuracy on the EEG signals with four motor imagery tasks derived from each type motor imagery (three classical motor imagery and one proposed mental strategy) tasks using t-test and SVM. The proposed mental strategy was imagery writing Kanji (Japanese characters). It has the possibility of both sensorimotor cortex and the visual cortex activation. Therefore, we expected to extract the distinct activity different from the activation with classical motor imagery tasks. In the two-class classification results, the classification accuracy was 73.7% on average in all combination of derived motor imagery task. Moreover, we demonstrated that four-class classification accuracy was 40.1% and the proposed task had possibility of the visual cortex activation dominantly. In experimental results, we proposed the new way for improvement of BCI application usability.

本誌: 電気学会論文誌E（センサ・マイクロマシン部門誌） Vol.135 No.7 （2015） 特集：脳を読み取るセンサ技術 ～脳機能計測の最前線～

本誌掲載ページ: 239-245 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejsmas/135/7/135_239/_article/-char/ja/