複合現実におけるBCIを用いた位置選択の最適化

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2019/10/01

タイトル(英語): Optimization of Selecting using Brain Computer Interface in Mixed-reality

著者名: 菊池　恵吾（東京大学大学院工学系研究室），小林　由弥（東京大学大学院工学系研究室），森　史奈（東京大学大学院工学系研究室），小谷　潔（東京大学先端科技術研究センター），神保　泰彦（東京大学大学院工学系研究室）

著者名(英語): Keigo Kikuchi (Guraduate School of Engineering, The University of Tokyo), Yuya Kobayashi (Guraduate School of Engineering, The University of Tokyo), Fumina Mori (Guraduate School of Engineering, The University of Tokyo), Kiyoshi Kotani (Research Center for Advanced Science and Technology, The University of Tokyo), Yasuhiko Jimbo (Guraduate School of Engineering, The University of Tokyo)

キーワード: ブレイン・コンピュータ・インターフェース，複合現実，SLAM，環境認識，ホロレンズ　　BCI，mixed-reality，SLAM，environment recognition，hololens

要約(英語): In recent years, development of BCIs has been very active especially for patients with movement disorders such as ALS. However, current BCI’s require huge equipment, and sometimes users need training to achieve decent accuracy. In previous researches, AR-BCI (Augmented Reality BCI) has been developed to reduce such problems. Though AR-BCI can provide rich information comparing to previous systems, markers for AR and choices need to be prepared in advance. In this study, we developed an intuitive BCI system using Mixed-Reality (MR) and event related potential (ERP). MR-BCI recognize surrounding environment and provide appropriate options for users depending on their situation. In this time, we investigated how visual stimulus from MR system affects event-related potential, the influence of providing options of blind spots, and the influence of the style of virtual markers.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.139 No.10 （2019） 特集Ⅰ：インテリジェント・システム　特集Ⅱ：2018電気関係学会四国支部連合大会

本誌掲載ページ: 1153-1158 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/ieejeiss/139/10/139_1153/_article/-char/ja/