Extraction of Feature Quantities Suitable for Distribution Visualization of Motion Capture Data

• Item type: Journal(1)
• 公開日: 2022-11-15
• タイトル: Extraction of Feature Quantities Suitable for Distribution Visualization of Motion Capture Data
• タイトル / 言語: en
• タイトル: Extraction of Feature Quantities Suitable for Distribution Visualization of Motion Capture Data
• 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, visualization, scatter plot, frequency domain
• 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(英): en
• 著者所属(英): Graduate School of Engineering Science, Akita University
• 著者名: Takeshi, Miura
• 著者名(英): Takeshi, Miura
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: To handle a motion-capture (Mocap) data set such as a Mocap database, it is beneficial to grasp the overview of the motion-characteristic distribution of the set in advance. To easily grasp the overview, concisely visualizing the distribution using a scatter plot is effective. In this paper, we propose a new method to extract the feature quantities suitable for the above visualization from each of the Mocap data. The one-dimensional motion-speed time series is analyzed in the frequency domain. Consequently, two feature quantities representing the motion intensity and motion complexity are derived. It is shown in the scatter-plot-construction experiments that explicitly weighting each frequency value in the frequency domain is effective for extracting the characteristics specific to each motion category.; ------------------------------; 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.30(2022) (online); DOI http://dx.doi.org/10.2197/ipsjjip.30.778; ------------------------------
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: To handle a motion-capture (Mocap) data set such as a Mocap database, it is beneficial to grasp the overview of the motion-characteristic distribution of the set in advance. To easily grasp the overview, concisely visualizing the distribution using a scatter plot is effective. In this paper, we propose a new method to extract the feature quantities suitable for the above visualization from each of the Mocap data. The one-dimensional motion-speed time series is analyzed in the frequency domain. Consequently, two feature quantities representing the motion intensity and motion complexity are derived. It is shown in the scatter-plot-construction experiments that explicitly weighting each frequency value in the frequency domain is effective for extracting the characteristics specific to each motion category.; ------------------------------; 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.30(2022) (online); DOI http://dx.doi.org/10.2197/ipsjjip.30.778; ------------------------------
• 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 63, 号 11, 発行日 2022-11-15
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 1882-7764
• 公開者 / 言語: ja
• 公開者 / 出版者: 情報処理学会