A robust and accurate 3D hand posture estimation method for interactive systems

研究成果: Conference contribution

抜粋

In this paper, a new 3D hand posture estimation system using a single camera and 3 interactive systems are introduced. Existing hand gesture recognition systems estimate hand's 3D models based on image features such as contour or skin texture. However, it was difficult to estimate the wrist rotation because the contour and the texture data do not have enough information to distinguish hand's sides. To solve this problem, we propose a new 3D hand posture estimation system that uses data of nail positions. Nail positions are an important factor to recognize hand's sides. Using nail positions, it becomes possible to detect whether the camera is facing palm or dorsum. In addition, nail areas can be robustly extracted from a skin area by a simple image processing technique. Our Proposed system uses a database consists of data-sets of the hand's contour, the nail positions, and finger joint angles. To estimate the hand posture, the system first extracts the hand's contour and the nail positions from the captured image, and searches for a similar data-set from the database. The system then outputs the finger joint angles of the searched data-set. Our experimental results show high accuracy in the hand posture estimation with the wrist rotation.

元の言語English
ホスト出版物のタイトルTEI'10 - Proceedings of the 4th International Conference on Tangible, Embedded, and Embodied Interaction
ページ321-322
ページ数2
DOI
出版物ステータスPublished - 2010 4 19
外部発表Yes
イベント4th International Conference on Tangible, Embedded, and Embodied Interaction, TEI'10 - Cambridge, MA, United States
継続期間: 2010 1 252010 1 27

出版物シリーズ

名前TEI'10 - Proceedings of the 4th International Conference on Tangible, Embedded, and Embodied Interaction

Conference

Conference4th International Conference on Tangible, Embedded, and Embodied Interaction, TEI'10
United States
Cambridge, MA
期間10/1/2510/1/27

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Human-Computer Interaction
  • Software

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  • これを引用

    Tamaki, E. (2010). A robust and accurate 3D hand posture estimation method for interactive systems. : TEI'10 - Proceedings of the 4th International Conference on Tangible, Embedded, and Embodied Interaction (pp. 321-322). (TEI'10 - Proceedings of the 4th International Conference on Tangible, Embedded, and Embodied Interaction). https://doi.org/10.1145/1709886.1709963