Gesture recognition of air-tapping and its application to character input in VR space

Mamoru Hirota, Masayuki Yokoyama, Ayumu Tsuboi, Masao Yanagisawa

研究成果: Conference contribution

抄録

The motion of the finger is made up of a combination of forearm part (extrinsic) muscles and hand part (intrinsic) muscles. We have created a wearable fingerless glove controller to sense sEMG(surface Electromyography) from intrinsic muscles using dry electrodes [Tsuboi et al. 2017].Recognition of air-tapping gesture with a sensor attached to wearable finger-less glove controller is a challenging problem. In this study, we focused on motion recognition of air-tapping and performed motion recognition using CNN and evaluated its accuracy. As a result, the accuracy in intra-subject identification was 85.05%. Also, experiments are currently being conducted in anticipation of character input in VR space [Grubert et al. 2018]. Character input experiment in VR space was carried out using sEMG wearable fingerless glove controller, as a primitive experiment of the use of sEMG glove in VR space. Based on the results, we discussed the efficiency of character input using sEMG glove in VR space.

本文言語English
ホスト出版物のタイトルSIGGRAPH Asia 2018 Posters, SA 2018
出版社Association for Computing Machinery, Inc
ISBN(電子版)9781450360630
DOI
出版ステータスPublished - 2018 12 4
イベントSIGGRAPH Asia 2018 Posters - International Conference on Computer Graphics and Interactive Techniques, SA 2018 - Tokyo, Japan
継続期間: 2018 12 42018 12 7

出版物シリーズ

名前SIGGRAPH Asia 2018 Posters, SA 2018

Other

OtherSIGGRAPH Asia 2018 Posters - International Conference on Computer Graphics and Interactive Techniques, SA 2018
国/地域Japan
CityTokyo
Period18/12/418/12/7

ASJC Scopus subject areas

  • 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
  • 人間とコンピュータの相互作用
  • ソフトウェア
  • コンピュータ ビジョンおよびパターン認識

フィンガープリント

「Gesture recognition of air-tapping and its application to character input in VR space」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル