ロボット制御のためのNIRS-based BCIの開発

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: 2012/10/01

タイトル(英語): A Development of NIRS-based Brain-Computer Interface for Robot Control

著者名: 参沢　匡将（富山大学大学院理工学研究部），後藤　かをり（富山大学大学院理工学研究部），高野　慎也（富山大学大学院理工学研究部），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), Kaori Goto (Graduate School of Science and Engineering, University of Toyama), Shinya Takano (Graduate School of Science and Engineering, University of Toyama), Shigeki Hirobayashi (Graduate School of Science and Engineering, University of Toyama)

キーワード: 近赤外分光法，ブレイン・コンピュータ・インターフェース，サポート・ベクター・マシン，ロボット制御　　Near Infrared Spectroscopy (NIRS)，Brain-Computer Interface，Support Vector Machine，Robot Contorol

要約(英語): Recently, developments in neuroimaging technologies have facilitated a clearer understanding of the activation of sites in the brain. This technology is applied to brain-computer interface (BCI). A BCI is used to determine user intentions on the basis of brain activity and to display these intentions through the system. Previous BCIs have primarily used information on the brain activity related to the motor system. In this study, a BCI that assists motor functions on the basis of brain activity in the prefrontal cortex was experimentally developed and its validity was confirmed. The BCI system serves as a means by which a subject operates a robot. In addition, we propose the multi-support vector machine which is new clustering technology. In the experiment, brain activity was measured using near infrared spectroscopy (NIRS), and the data were acquired in real time. 17 subjects both male and female, participated in this experiment. As a result, 16 of them could control the robot. This result show a possibility of performing movement assistance in high accuracy and that it is possible to develop BCI systems can assist motor functions using information from the prefrontal cortex.

本誌: 電気学会論文誌E（センサ・マイクロマシン部門誌） Vol.132 No.10 （2012） 特集：脳機能計測技術

本誌掲載ページ: 355-361 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/132/10/132_355/_article/-char/ja/