Towards activity recognition of learners by kinect

Takuya Kamizono, Hiromichi Abe, Kensuke Baba, Shigeru Takano, Kazuaki Murakami

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

    5 被引用数 (Scopus)

    抄録

    Understanding the states of learners at a lecture is useful for improving the quality of the lecture. A video camera with an infrared sensor Kinect has been widely studied and proved to be useful for some kinds of activity recognition. However, learners in a lecture usually do not act with large moving. This paper evaluates Kinect for use of activity recognition of learners. The authors considered four activities for detecting states of a learner, and collected the data with the activities by a Kinect. They applied K-nearest neighbor algorithm to the collected data and obtained the accuracy 0.936 of the activity recognition. The result shows that Kinect is applicable also to the activity recognition of learners in a lecture.

    本文言語英語
    ホスト出版物のタイトルProceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014
    出版社Institute of Electrical and Electronics Engineers Inc.
    ページ177-180
    ページ数4
    ISBN(電子版)9781479941735
    DOI
    出版ステータス出版済み - 9 29 2014
    イベント3rd IIAI International Conference on Advanced Applied Informatics, IIAI-AAI 2014 - Kitakyushu, 日本
    継続期間: 8 31 20149 4 2014

    出版物シリーズ

    名前Proceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014

    その他

    その他3rd IIAI International Conference on Advanced Applied Informatics, IIAI-AAI 2014
    Country日本
    CityKitakyushu
    Period8/31/149/4/14

    All Science Journal Classification (ASJC) codes

    • Information Systems

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