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

• Item type: Journal(1)
• 公開日: 2017-09-15
• タイトル: Low-dimensional Feature Vector Extraction from Motion Capture Data by Phase Plane Analysis
• タイトル / 言語: en
• タイトル: Low-dimensional Feature Vector Extraction from Motion Capture Data by Phase Plane Analysis
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: [一般論文（テクニカルノート）] motion capture, motion characteristic, feature vector, phase plane analysis
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_6501
• 資源タイプ: journal article
• 著者所属: Graduate School of Engineering Science, Akita University
• 著者所属: Digital Art Factory, Warabi-za Co., Ltd.
• 著者所属: College of Information and Systems, Muroran Institute of Technology
• 著者所属: Graduate School of Engineering Science, Akita University
• 著者所属: Tohoku University of Community Service and Science
• 著者所属(英): en
• 著者所属(英): Graduate School of Engineering Science, Akita University
• 著者所属(英): en
• 著者所属(英): Digital Art Factory, Warabi-za Co., Ltd.
• 著者所属(英): en
• 著者所属(英): College of Information and Systems, Muroran Institute of Technology
• 著者所属(英): en
• 著者所属(英): Graduate School of Engineering Science, Akita University
• 著者所属(英): en
• 著者所属(英): Tohoku University of Community Service and Science
• 著者名: Takeshi, Miura; Takaaki, Kaiga; Takeshi, Shibata; Katsubumi, Tajima; Hideo, Tamamoto
• 著者名(英): Takeshi, Miura; Takaaki, Kaiga; Takeshi, Shibata; Katsubumi, Tajima; Hideo, Tamamoto
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: 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.; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.25(2017) (online); DOI http://dx.doi.org/10.2197/ipsjjip.25.884; ------------------------------
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: 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.; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.25(2017) (online); DOI http://dx.doi.org/10.2197/ipsjjip.25.884; ------------------------------
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AN00116647
• 書誌情報: 情報処理学会論文誌; 巻 58, 号 9, 発行日 2017-09-15
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 1882-7764