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Development of a Visualization Method for Motion-characteristic Distribution of Japanese Folk Dances - A Case Study of the Bon Odori Dance
https://ipsj.ixsq.nii.ac.jp/records/185834
https://ipsj.ixsq.nii.ac.jp/records/185834a7e4673c-294b-45c6-9a8d-2881d14cb9a8
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
IPSJ-JNL5902013.pdf (2.5 MB)
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Copyright (c) 2018 by the Information Processing Society of Japan
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| オープンアクセス | ||
| Item type | Journal(1) | |||||||||||||||||
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| 公開日 | 2018-02-15 | |||||||||||||||||
| タイトル | ||||||||||||||||||
| タイトル | Development of a Visualization Method for Motion-characteristic Distribution of Japanese Folk Dances - A Case Study of the Bon Odori Dance | |||||||||||||||||
| タイトル | ||||||||||||||||||
| 言語 | en | |||||||||||||||||
| タイトル | Development of a Visualization Method for Motion-characteristic Distribution of Japanese Folk Dances - A Case Study of the Bon Odori Dance | |||||||||||||||||
| 言語 | ||||||||||||||||||
| 言語 | eng | |||||||||||||||||
| キーワード | ||||||||||||||||||
| 主題Scheme | Other | |||||||||||||||||
| 主題 | [特集：人文科学とコンピュータ] Japanese folk dance, motion characteristic, motion capture, visualization | |||||||||||||||||
| 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 | ||||||||||||||||||
| Collage of Information and Systems, Muroran Institute of Technology | ||||||||||||||||||
| 著者所属 | ||||||||||||||||||
| Faculty of Education and Human Studies, Akita University | ||||||||||||||||||
| 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 | ||||||||||||||||||
| Graduate School of Engineering Science, Akita University | ||||||||||||||||||
| 著者所属(英) | ||||||||||||||||||
| en | ||||||||||||||||||
| Digital Art Factory, Warabi-za Co., Ltd. | ||||||||||||||||||
| 著者所属(英) | ||||||||||||||||||
| en | ||||||||||||||||||
| Collage of Information and Systems, Muroran Institute of Technology | ||||||||||||||||||
| 著者所属(英) | ||||||||||||||||||
| en | ||||||||||||||||||
| Faculty of Education and Human Studies, Akita University | ||||||||||||||||||
| 著者所属(英) | ||||||||||||||||||
| en | ||||||||||||||||||
| Graduate School of Engineering Science, Akita University | ||||||||||||||||||
| 著者所属(英) | ||||||||||||||||||
| en | ||||||||||||||||||
| Tohoku University of Community Service and Science | ||||||||||||||||||
| 著者名 |
Takeshi, Miura
× Takeshi, Miura
× Takaaki, Kaiga
× Takeshi, Shibata
× Madoka, Uemura
× Katsubumi, Tajima
× Hideo, Tamamoto
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| 著者名(英) |
Takeshi, Miura
× Takeshi, Miura
× Takaaki, Kaiga
× Takeshi, Shibata
× Madoka, Uemura
× Katsubumi, Tajima
× Hideo, Tamamoto
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| 論文抄録 | ||||||||||||||||||
| 内容記述タイプ | Other | |||||||||||||||||
| 内容記述 | This study proposes a method to systematically visualize the motion-characteristic distribution of Japanese folk dances passed down in a certain area. This is accomplished by adopting an approach that involves analyzing motion-capture data collected from the dances. The visualization process in the proposed method consists of three stages. The first stage is the modeling of the relationship among motion-capture data, folk dances, and the settlements in which folk dances have been passed down. This relationship is modeled as a hierarchical-structure model. The second stage is the extraction of motion characteristics from motion-capture data streams. The motion characteristics of each data stream are summarized as a fourteen-dimensional feature vector. The third stage is the visualization of the motion-characteristic distribution of the dances investigated. Each of the dances is mapped on a two-dimensional scatter plot in accordance with the feature quantities obtained in the second stage. Information on the hierarchical-structure model constructed in the first stage is also displayed. The analysis results for the distribution of Bon Odori dances showed that the proposed method could have almost completely visualized the motion-characteristic distribution of sample folk dances, while also demonstrating consistency with the knowledge of the dances acquired in the previous studies. ------------------------------ 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.26(2018) (online) DOI http://dx.doi.org/10.2197/ipsjjip.26.74 ------------------------------ |
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| 論文抄録(英) | ||||||||||||||||||
| 内容記述タイプ | Other | |||||||||||||||||
| 内容記述 | This study proposes a method to systematically visualize the motion-characteristic distribution of Japanese folk dances passed down in a certain area. This is accomplished by adopting an approach that involves analyzing motion-capture data collected from the dances. The visualization process in the proposed method consists of three stages. The first stage is the modeling of the relationship among motion-capture data, folk dances, and the settlements in which folk dances have been passed down. This relationship is modeled as a hierarchical-structure model. The second stage is the extraction of motion characteristics from motion-capture data streams. The motion characteristics of each data stream are summarized as a fourteen-dimensional feature vector. The third stage is the visualization of the motion-characteristic distribution of the dances investigated. Each of the dances is mapped on a two-dimensional scatter plot in accordance with the feature quantities obtained in the second stage. Information on the hierarchical-structure model constructed in the first stage is also displayed. The analysis results for the distribution of Bon Odori dances showed that the proposed method could have almost completely visualized the motion-characteristic distribution of sample folk dances, while also demonstrating consistency with the knowledge of the dances acquired in the previous studies. ------------------------------ 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.26(2018) (online) DOI http://dx.doi.org/10.2197/ipsjjip.26.74 ------------------------------ |
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| 書誌レコードID | ||||||||||||||||||
| 収録物識別子タイプ | NCID | |||||||||||||||||
| 収録物識別子 | AN00116647 | |||||||||||||||||
| 書誌情報 |
情報処理学会論文誌 巻 59, 号 2, 発行日 2018-02-15 |
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| ISSN | ||||||||||||||||||
| 収録物識別子タイプ | ISSN | |||||||||||||||||
| 収録物識別子 | 1882-7764 | |||||||||||||||||
