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

    2 Citations (Scopus)

    Abstract

    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
    DOIs
    Publication statusPublished - 2017 Nov 27
    EventSIGGRAPH Asia 2017 Posters, SA 2017 - Bangkok, Thailand
    Duration: 2017 Nov 272017 Nov 30

    Other

    OtherSIGGRAPH Asia 2017 Posters, SA 2017
    CountryThailand
    CityBangkok
    Period17/11/2717/11/30

    Fingerprint

    Electromyography
    Gesture recognition
    Muscle
    Controllers
    Discriminant analysis
    Classifiers
    Wear of materials
    Electrodes

    Keywords

    • 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

    Cite this

    Tsuboi, A., Hirota, M., Sato, J., Yokoyama, M., & Yanagisawa, M. (2017). A Proposal for Wearable Controller Device and Finger Gesture Recognition using Surface Electromyography. In SIGGRAPH Asia 2017 Posters, SA 2017 [9] Association for Computing Machinery, Inc. https://doi.org/10.1145/3145690.3145731

    A Proposal for Wearable Controller Device and Finger Gesture Recognition using Surface Electromyography. / Tsuboi, Ayumu; Hirota, Mamoru; Sato, Junki; Yokoyama, Masayuki; Yanagisawa, Masao.

    SIGGRAPH Asia 2017 Posters, SA 2017. Association for Computing Machinery, Inc, 2017. 9.

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

    Tsuboi, A, Hirota, M, Sato, J, Yokoyama, M & Yanagisawa, M 2017, A Proposal for Wearable Controller Device and Finger Gesture Recognition using Surface Electromyography. in SIGGRAPH Asia 2017 Posters, SA 2017., 9, Association for Computing Machinery, Inc, SIGGRAPH Asia 2017 Posters, SA 2017, Bangkok, Thailand, 17/11/27. https://doi.org/10.1145/3145690.3145731
    Tsuboi A, Hirota M, Sato J, Yokoyama M, Yanagisawa M. A Proposal for Wearable Controller Device and Finger Gesture Recognition using Surface Electromyography. In SIGGRAPH Asia 2017 Posters, SA 2017. Association for Computing Machinery, Inc. 2017. 9 https://doi.org/10.1145/3145690.3145731
    Tsuboi, Ayumu ; Hirota, Mamoru ; Sato, Junki ; Yokoyama, Masayuki ; Yanagisawa, Masao. / A Proposal for Wearable Controller Device and Finger Gesture Recognition using Surface Electromyography. SIGGRAPH Asia 2017 Posters, SA 2017. Association for Computing Machinery, Inc, 2017.
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