Low-dimensional Feature Vector Extraction from Motion Capture Data by Phase Plane Analysis

• Miura Takeshi

  Graduate School of Engineering Science, Akita University

• Kaiga Takaaki

  Digital Art Factory, Warabi-za Co., Ltd.

• Shibata Takeshi

  College of Information and Systems, Muroran Institute of Technology

• Tajima Katsubumi

  Graduate School of Engineering Science, Akita University

• Tamamoto Hideo

  Tohoku University of Community Service and Science

抄録

This paper proposes a method to obtain a low-dimensional feature vector appropriately representing the characteristics of a given motion-capture data stream. The feature vector is derived based on the concept of phase plane analysis. A set of phase plane trajectories are obtained from the temporal variation of the state variables representing the body-segment arrangement. The information on six motion-characteristic properties is extracted from the shapes of the trajectories, and used as the components of a six-dimensional feature vector. The experimental results showed the effectiveness and limitation of the proposed method.

収録刊行物

• Journal of Information Processing

  Journal of Information Processing 25 (0), 884-887, 2017

  一般社団法人 情報処理学会

キーワード

• motion capture
• motion characteristic
• feature vector
• phase plane analysis

詳細情報

• CRID: 1390282680270462464
• NII論文ID: 130006078786
• DOI: 10.2197/ipsjjip.25.884
• ISSN: 18826652
• Web Site: https://www.jstage.jst.go.jp/article/ipsjjip/25/0/25_884/_pdf
• 本文言語コード: en
• データソース種別:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• 抄録ライセンスフラグ: 使用不可