Towards activity recognition of learners by simple electroencephalographs

Hiromichi Abe, Kensuke Baba, Sigeru Takano, Kazuaki Murakami

    研究成果: Chapter in Book/Report/Conference proceedingConference contribution

    3 被引用数 (Scopus)

    抄録

    Understanding the states of learners at a lecture is expected to be useful for improving the quality of the lecture. This paper investigates the possibility of use of a simple electroencephalograph MindTune for activity recognition of a learner. The authors considered three kinds of activities for detecting states of a learner, and collected electroencephalography data with the activities by MindTune. Then, they applied K-nearest neighbor algorithm to the collected data, and the accuracy of the activity recognition was 58.2%. The result indicates a possibility of using MindTune for the activity recognition of learners.

    本文言語英語
    ホスト出版物のタイトルProceedings of International Conference on Information Systems and Design of Communication, ISDOC 2014
    出版社Association for Computing Machinery
    ページ161-164
    ページ数4
    ISBN(印刷版)9781450327138
    DOI
    出版ステータス出版済み - 2014
    イベントInternational Conference on Information Systems and Design of Communication, ISDOC 2014 - Lisbon, ポルトガル
    継続期間: 5 16 20145 17 2014

    出版物シリーズ

    名前ACM International Conference Proceeding Series

    その他

    その他International Conference on Information Systems and Design of Communication, ISDOC 2014
    国/地域ポルトガル
    CityLisbon
    Period5/16/145/17/14

    All Science Journal Classification (ASJC) codes

    • ソフトウェア
    • 人間とコンピュータの相互作用
    • コンピュータ ビジョンおよびパターン認識
    • コンピュータ ネットワークおよび通信

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