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  1. JIP
  2. Vol.18

Adaptation of Grouping Structure Analysis in GTTM to Hierarchical Segmentation of Dance Motion

https://ipsj.ixsq.nii.ac.jp/records/71714
https://ipsj.ixsq.nii.ac.jp/records/71714
cf12c5b1-75ab-4a92-ac0b-a90e346bee25
名前 / ファイル ライセンス アクション
IPSJ-JIP1800022.pdf IPSJ-JIP1800022.pdf (3.7 MB)
Copyright (c) 2010 by the Information Processing Society of Japan
オープンアクセス
Item type JInfP(1)
公開日 2010-12-08
タイトル
タイトル Adaptation of Grouping Structure Analysis in GTTM to Hierarchical Segmentation of Dance Motion
タイトル
言語 en
タイトル Adaptation of Grouping Structure Analysis in GTTM to Hierarchical Segmentation of Dance Motion
言語
言語 eng
キーワード
主題Scheme Other
主題 Regular Paper
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 and Resource Science, Akita University
著者所属
Graduate School of Engineering and Resource Science, Akita University
著者所属
Faculty of Law, North Asia University
著者所属
Graduate School of Engineering and Resource Science, Akita University/Digital Art Factory, Warabi-za Co., Ltd.
著者所属
Graduate School of Engineering and Resource Science, Akita University
著者所属
Graduate School of Engineering and Resource Science, Akita University
著者所属(英)
en
Graduate School of Engineering and Resource Science, Akita University
著者所属(英)
en
Graduate School of Engineering and Resource Science, Akita University
著者所属(英)
en
Faculty of Law, North Asia University
著者所属(英)
en
Graduate School of Engineering and Resource Science, Akita University / Digital Art Factory, Warabi-za Co., Ltd.
著者所属(英)
en
Graduate School of Engineering and Resource Science, Akita University
著者所属(英)
en
Graduate School of Engineering and Resource Science, Akita University
著者名 Takeshi, Miura Kazutaka, Mitobe Takashi, Yukawa Takaaki, Kaiga Toshiyuki, Taniguchi Hideo, Tamamoto

× Takeshi, Miura Kazutaka, Mitobe Takashi, Yukawa Takaaki, Kaiga Toshiyuki, Taniguchi Hideo, Tamamoto

Takeshi, Miura
Kazutaka, Mitobe
Takashi, Yukawa
Takaaki, Kaiga
Toshiyuki, Taniguchi
Hideo, Tamamoto

Search repository
著者名(英) Takeshi, Miura Kazutaka, Mitobe Takashi, Yukawa Takaaki, Kaiga Toshiyuki, Taniguchi Hideo, Tamamoto

× Takeshi, Miura Kazutaka, Mitobe Takashi, Yukawa Takaaki, Kaiga Toshiyuki, Taniguchi Hideo, Tamamoto

en Takeshi, Miura
Kazutaka, Mitobe
Takashi, Yukawa
Takaaki, Kaiga
Toshiyuki, Taniguchi
Hideo, Tamamoto

Search repository
論文抄録
内容記述タイプ Other
内容記述 In this paper, the authors propose the adaptation of the rules used in the grouping structure analysis in Lerdahl and Jackendoff's “A Generative Theory of Tonal Music (GTTM)” to dance motion analysis. The success of the adaptation realizes the segmentation of dance motion in a hierarchical fashion. The analysis method obtained by the trial of the above adaptation consists of the following procedures. A motion-capture data stream of a dance is first divided into a sequence of events by piecewise linear regression. The hierarchical structure of groups each of which consists of a sequence of the events is then extracted by applying the grouping rules adapted to dance motion analysis. The above method is applied to motion-data streams acquired by motion capture systems. The obtained results indicate the following advantages: (1) The structure of hierarchical segmentation is precisely extracted in response to the characteristic of an analyzed dance. (2) The extraction of the hierarchical segmentation provides the possibility of the development of a technique distinguishing the oversegmentation from regular boundaries. (3) The possibility of utilizing the information of hierarchical segmentation for the comparison of dance performances is suggested.
論文抄録(英)
内容記述タイプ Other
内容記述 In this paper, the authors propose the adaptation of the rules used in the grouping structure analysis in Lerdahl and Jackendoff's “A Generative Theory of Tonal Music (GTTM)” to dance motion analysis. The success of the adaptation realizes the segmentation of dance motion in a hierarchical fashion. The analysis method obtained by the trial of the above adaptation consists of the following procedures. A motion-capture data stream of a dance is first divided into a sequence of events by piecewise linear regression. The hierarchical structure of groups each of which consists of a sequence of the events is then extracted by applying the grouping rules adapted to dance motion analysis. The above method is applied to motion-data streams acquired by motion capture systems. The obtained results indicate the following advantages: (1) The structure of hierarchical segmentation is precisely extracted in response to the characteristic of an analyzed dance. (2) The extraction of the hierarchical segmentation provides the possibility of the development of a technique distinguishing the oversegmentation from regular boundaries. (3) The possibility of utilizing the information of hierarchical segmentation for the comparison of dance performances is suggested.
書誌レコードID
収録物識別子タイプ NCID
収録物識別子 AA00700121
書誌情報 Journal of information processing

巻 18, p. 263-283, 発行日 2010-12-08
ISSN
収録物識別子タイプ ISSN
収録物識別子 1882-6652
出版者
言語 ja
出版者 情報処理学会
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