Hybrid Brain/Blink Computer Interface toward a Personal Identification Number Application

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: 2016/09/01

タイトル(英語): Hybrid Brain/Blink Computer Interface toward a Personal Identification Number Application

著者名: Theerawit Wilaiprasitporn (Yagi Labs, Department of Mechanical and Environmental Informatics, Tokyo Institute of Technology), Alexandru Popovici (Delft University of Technology), Tohru Yagi (Yagi Labs, Department of Mechanical and Environmental Informatic

著者名(英語): Theerawit Wilaiprasitporn (Yagi Labs, Department of Mechanical and Environmental Informatics, Tokyo Institute of Technology), Alexandru Popovici (Delft University of Technology), Tohru Yagi (Yagi Labs, Department of Mechanical and Environmental Informatics, Tokyo Institute of Technology)

キーワード: Hybrid brain-computer interface，EEG，Personal identification number (PIN)，Alpha wave，Blink

要約(英語): In this study, we propose a hybrid brain/blink computer interface based on a single-channel electroencephalography (EEG) amplifier. Eyelid closing and hard blink were selected as two possible inputs for control of the interface. A 2-min calibration was required before starting to use the interface. An algorithm for feature extraction and classification was developed for EEG signals from eyelid closing, hard blink, and resting. To evaluate the performance of the interface, we incorporated it into a personal identification number (PIN) application, in both visual and auditory modes. Experiments with 5 healthy participants revealed that the PIN application based on the interface achieved a mean accuracy of 97.40%. In conclusion, we expect that our investigation will contribute to hybrid brain-computer interface research and technologies in the near future.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.136 No.9 （2016） 特集：神経工学・サイバネティックス・生体工学

本誌掲載ページ: 1312-1317 p

原稿種別: 論文／英語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/136/9/136_1312/_article/-char/ja/