Coupled Motion Capture and Text Analysis of the Bon Odori Dances of Akita Prefecture

• Item type: Symposium(1)
• 公開日: 2014-12-06
• タイトル: Coupled Motion Capture and Text Analysis of the Bon Odori Dances of Akita Prefecture
• タイトル / 言語: en
• タイトル: Coupled Motion Capture and Text Analysis of the Bon Odori Dances of Akita Prefecture
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: 舞踊
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_5794
• 資源タイプ: conference paper
• 著者所属: Akita University
• 著者所属: Warabi-za, Co. Ltd.
• 著者所属: Akita University
• 著者所属: Akita University
• 著者所属: Akita University
• 著者所属: Tohoku University of Community Service and Science
• 著者所属(英): en
• 著者所属(英): Akita University
• 著者所属(英): en
• 著者所属(英): Warabi-za, Co. Ltd.
• 著者所属(英): en
• 著者所属(英): Akita University
• 著者所属(英): en
• 著者所属(英): Akita University
• 著者所属(英): en
• 著者所属(英): 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; Hiroaki, Katsura; Takeshi, Shibata; Katsubumi, Tajima; Hideo, Tamamoto
• 著者名(英): Takeshi, Miura; Takaaki, Kaiga; Hiroaki, Katsura; 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: For many years, the top three Bon Odori dances of Akita Prefecture, i.e., Hitoichi Bon Odori, Kemanai Bon Odori and Nishimonai Bon Odori, have attracted a great deal of attention. Recently, an approach using motion capture (Mocap) data gave successful outcomes in the motion analysis of these dances. On the other hand, several survey reports on these dances have been compiled to record their histories and current states. The text data of these reports provide a lot of valuable knowledge about the dances themselves and their surrounding environment. With these facts taken into consideration, we try to perform coupled Mocap and text analysis of these dances. In Mocap data analysis, we extract rhythmic-style feature quantities; they are converted into qualitative expressions. As for text data analysis, we extract sentences describing the characteristics of the dances; each sentence is ranked by the frequencies of the phrasal units used in it. As the first stage of this approach, we use part of the text data of the survey reports. As a result of the analysis, the cause of bringing about a motion feature unique to Hitoichi Bon Odori (wide distribution of rhythmic style) was clarified to a certain extent. At the same time, it is also pointed out that there are several points to be improved in this approach.
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: For many years, the top three Bon Odori dances of Akita Prefecture, i.e., Hitoichi Bon Odori, Kemanai Bon Odori and Nishimonai Bon Odori, have attracted a great deal of attention. Recently, an approach using motion capture (Mocap) data gave successful outcomes in the motion analysis of these dances. On the other hand, several survey reports on these dances have been compiled to record their histories and current states. The text data of these reports provide a lot of valuable knowledge about the dances themselves and their surrounding environment. With these facts taken into consideration, we try to perform coupled Mocap and text analysis of these dances. In Mocap data analysis, we extract rhythmic-style feature quantities; they are converted into qualitative expressions. As for text data analysis, we extract sentences describing the characteristics of the dances; each sentence is ranked by the frequencies of the phrasal units used in it. As the first stage of this approach, we use part of the text data of the survey reports. As a result of the analysis, the cause of bringing about a motion feature unique to Hitoichi Bon Odori (wide distribution of rhythmic style) was clarified to a certain extent. At the same time, it is also pointed out that there are several points to be improved in this approach.
• 書誌情報: じんもんこん2014論文集; 巻 2014, 号 3, p. 23-30, 発行日 2014-12-06
• 出版者 / 言語: ja
• 出版者: 情報処理学会