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舞踏符自動生成のための自己組織化マップによる動作の分割化
http://hdl.handle.net/10295/457
http://hdl.handle.net/10295/457b1ba2d3d-9ac0-42d5-869e-2b03a0204daa
名前 / ファイル | ライセンス | アクション |
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koushi28c.pdf (1.2 MB)
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Item type | 紀要論文 / Departmental Bulletin Paper(1) | |||||
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公開日 | 2008-01-29 | |||||
タイトル | ||||||
タイトル | 舞踏符自動生成のための自己組織化マップによる動作の分割化 | |||||
言語 | ||||||
言語 | jpn | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | 舞踏符 | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | 自動生成 | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | 自己組織化マップ | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | 動作 | |||||
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 | departmental bulletin paper | |||||
別タイトル | ||||||
その他のタイトル | A Motion Data Segmentation Method Using Self-Prganizing Map for Making a Buyo-fu Automatically | |||||
著者 |
柴田, 傑
× 柴田, 傑× 湯川, 崇× 海賀, 孝明× 門脇, さくら× 横山, 洋之× 玉本, 英夫× Shibata, Takeshi× Yukawa, Takashi× Kaiga, Takaaki× kadowaki, Sakura× Yokoyama, Hiroshi× Tamamoto, Hideo |
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内容記述(抄録) | ||||||
内容記述タイプ | Other | |||||
内容記述 | We have proposed a human motion description method using a Buyo-fu(dancing note) in order to reuse motion data captured by a motion capturing system. The Buyo-fu can give us an efficient support for archiving and learning traditional dances. The motion of a dance can be segmented into some motion primitives, and we define a Buyo-fu as a code that is assigned to each motion primitive. Since we have been making a Buyo-fu manually so far, there exists a problem that making a Buyo-fu requires not only much cost but also an expert knowledge about the dance. In this report, we propose a method to segment human motion data into some motion primitives in order to make a Buyo-fu automatically. We consider that human motion data consist of a series of human postures and that a motion primitive is a segment which consists of a series of human postures having similar characteristics to each other. According to these considerations, we discussed a method to segment human motion data into motion primitives by clustering postures. As a result, we have developed a clustering method for segmentation by using a modified self-organizing map(SOM) that can treat a time-series of data. We made an experiment on a Japanese folk dance whose name is “Nishimonai Ganke”, and we confirmed that our proposed method could be used to make a Buyo-fu automatically. |
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著者版フラグ | ||||||
出版タイプ | VoR | |||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
書誌情報 |
秋田大学工学資源学部研究報告 en : Scientific and technical reports of Faculty of Engineering and Resource Science,Akita University 巻 28, p. 17-24, 発行日 2007-10-31 |
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ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 13457241 | |||||
NCID | ||||||
収録物識別子タイプ | NCID | |||||
収録物識別子 | AA11410906 | |||||
出版者 | ||||||
出版者 | 秋田大学工学資源学部 |