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

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

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    8 Citations (Scopus)


    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.

    Original languageEnglish
    Title of host publicationSIGGRAPH Asia 2017 Posters, SA 2017
    PublisherAssociation for Computing Machinery, Inc
    ISBN (Electronic)9781450354059
    Publication statusPublished - 2017 Nov 27
    EventSIGGRAPH Asia 2017 Posters, SA 2017 - Bangkok, Thailand
    Duration: 2017 Nov 272017 Nov 30


    OtherSIGGRAPH Asia 2017 Posters, SA 2017


    • Finger Gesture Recognition?I/F
    • Glove Controller
    • SEMG?Dry Electrode

    ASJC Scopus subject areas

    • Computer Vision and Pattern Recognition
    • Computer Graphics and Computer-Aided Design


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