Muscle analysis of hand and forearm during tapping using surface electromyography

Masayuki Yokoyama, Ryohei Koyama, Masao Yanagisawa

    研究成果: Conference contribution

    2 被引用数 (Scopus)

    抄録

    Surface electromyography (sEMG) is one of the promising sensors to handle biological information especially for user interfaces with low hardware cost. However, sEMG signals are noisy and the sensor position affects to the signal-to-noise ratio (SNR). Assuming sEMG sensors to be inputs of wearable controllers of some devices (head-mounted displays for instance), we examined the SNR of sEMG signals of a forearm muscle (flexor digitorum superficialis) and two hand muscles (dorsal interossei and lumbrical) when tapped on a desk by the index finger. As a result, the SNR of sEMG signals of hands were higher than the one of the signals of forearms. The result shows hands are more suitable than forearms for wearable controllers with tapping-gesture using sEMG. Ten subjects participated, and two different forms of tapping gesture by index fingers were adopted in our experiments.

    本文言語English
    ホスト出版物のタイトル2015 IEEE 4th Global Conference on Consumer Electronics, GCCE 2015
    出版社Institute of Electrical and Electronics Engineers Inc.
    ページ595-598
    ページ数4
    ISBN(印刷版)9781479987511
    DOI
    出版ステータスPublished - 2016 2月 3
    イベント4th IEEE Global Conference on Consumer Electronics, GCCE 2015 - Osaka, Japan
    継続期間: 2015 10月 272015 10月 30

    Other

    Other4th IEEE Global Conference on Consumer Electronics, GCCE 2015
    国/地域Japan
    CityOsaka
    Period15/10/2715/10/30

    ASJC Scopus subject areas

    • 器械工学
    • バイオテクノロジー
    • コンピュータ ネットワークおよび通信
    • 信号処理
    • 電子工学および電気工学

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