A Proposal for Wearable Controller Device and Finger Gesture Recognition using Surface Electromyography

Ayumu Tsuboi, Mamoru Hirota, Junki Sato, Masayuki Yokoyama, Masao Yanagisawa

    研究成果: Conference contribution

    2 被引用数 (Scopus)

    抄録

    Hand and finger motion is very complicated and achieved by intertwining forearm part (extrinsic) and finger part (intrinsic) muscles. We created a wearable finger-less glove controller using dry electrodes of sEMG(surface Electromyography) and only intrinsic hand muscles were sensed. Our wearable interface device is easy to wear and light-weighted. In offline analysis, we identified the tapping motion of fingers using the wearable glove. Totally eleven features were extracted, and linear discriminant analysis (LDA) was used as a classifier. The average of the discrimination result of in-tersubject analysis was 88.61±3.61%. In online analysis, we created a demo that reflects actual movement in the virtual space by Unity. Our demo showed a prediction of finger motions, and realized the motions in the virtual space.

    本文言語English
    ホスト出版物のタイトルSIGGRAPH Asia 2017 Posters, SA 2017
    出版社Association for Computing Machinery, Inc
    ISBN(電子版)9781450354059
    DOI
    出版ステータスPublished - 2017 11 27
    イベントSIGGRAPH Asia 2017 Posters, SA 2017 - Bangkok, Thailand
    継続期間: 2017 11 272017 11 30

    Other

    OtherSIGGRAPH Asia 2017 Posters, SA 2017
    国/地域Thailand
    CityBangkok
    Period17/11/2717/11/30

    ASJC Scopus subject areas

    • 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 グラフィックスおよびコンピュータ支援設計

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