FirsTVR: A muscle deformation sensors array device to detect finger gestures and noise reduction case

Emi Tamaki, Satoshi Hosono, Ken Iwasaki

研究成果

2 被引用数 (Scopus)

抄録

Hand gesture input has been of growing importance in 3D content and VR/AR. However, a hand gesture detection system by camera was small in scope. And EMG was affected by noise from other electronic devices. Muscle deformation sensor system could only detect large muscles deformation related to wrist gestures because the sensor is covered to prevent light leakage noise. In this research, a device that covers the only sensor side circularly as light noise reduction case and has 14ch photo reflector sensors can detect small muscles deformation: FirstVR is suggested (Fig1, 2). Results of our experiment shows that recognition accuracy average of more than 90% is achieved with three types of PIP joint angles. In the future, FirstVR is expected to be used not only for content inputting finger movements indoors and outdoors but also for muscle displacement recording system.

本文言語English
ホスト出版物のタイトルProceedings of the 2nd International Conference on Electronics, Communications and Control Engineering, ICECC 2019
出版社Association for Computing Machinery
ページ21-24
ページ数4
ISBN(電子版)9781450362634
DOI
出版ステータスPublished - 2019 4 13
イベント2nd International Conference on Electronics, Communications and Control Engineering, ICECC 2019 - Phuket, Thailand
継続期間: 2019 4 132019 4 16

出版物シリーズ

名前ACM International Conference Proceeding Series

Conference

Conference2nd International Conference on Electronics, Communications and Control Engineering, ICECC 2019
国/地域Thailand
CityPhuket
Period19/4/1319/4/16

ASJC Scopus subject areas

  • 人間とコンピュータの相互作用
  • コンピュータ ネットワークおよび通信
  • コンピュータ ビジョンおよびパターン認識
  • ソフトウェア

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