Estimation of 3D Finger Postures with wearable device measuring Skin Deformation on Back of Hand

Wakaba Kuno, Yuta Sugiura, Nao Asano, Wataru Kawai, Maki Sugimoto

研究成果: Conference contribution

抄録

We propose a method for reconstructing hand posture by measuring the deformation of the back of the hand with a wearable device. Our method constructs a regression model by using the data on hand posture captured by a depth camera and data on the skin deformation of the back of the hand captured by several photo-reflective sensors attached to the wearable device. By using this regression model, the posture of the hand is reconstructed from the data of the photo-reflective sensors in real-time. The posture of fingers can be estimated without hindering the natural movement of the fingers since the deformation of the back of the hand is measured without directly measuring the position of the fingers. In our demonstration, users can reflect his/her own finger posture in a virtual environment.

本文言語English
ホスト出版物のタイトルVirtual Environments 2017 - ICAT - EGVE
ホスト出版物のサブタイトル27th International Conference on Artificial Reality and Telexistence; 22nd Eurographics Symposium on Virtual Environments, Posters and Demos
編集者Dieter Fellner
出版社The Eurographics Association
ページ25-26
ページ数2
ISBN(電子版)9783038680529
DOI
出版ステータスPublished - 2017
イベント27th International Conference on Artificial Reality and Telexistence and 22nd Eurographics Symposium on Virtual Environments, ICAT-EGVE 2017 - Adelaide, Australia
継続期間: 2017 11月 222017 11月 24

出版物シリーズ

名前Virtual Environments 2017 - ICAT - EGVE: 27th International Conference on Artificial Reality and Telexistence; 22nd Eurographics Symposium on Virtual Environments, Posters and Demos

Conference

Conference27th International Conference on Artificial Reality and Telexistence and 22nd Eurographics Symposium on Virtual Environments, ICAT-EGVE 2017
国/地域Australia
CityAdelaide
Period17/11/2217/11/24

ASJC Scopus subject areas

  • コンピュータ サイエンスの応用
  • 計算理論と計算数学
  • ソフトウェア
  • 人工知能

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