@article{oai:air.repo.nii.ac.jp:00000724,
 author = {柴田, 傑 and 湯川, 崇 and 海賀, 孝明 and 門脇, さくら and 横山, 洋之 and 玉本, 英夫 and Shibata, Takeshi and Yukawa, Takashi and Kaiga, Takaaki and kadowaki, Sakura and Yokoyama, Hiroshi and Tamamoto, Hideo},
 journal = {秋田大学工学資源学部研究報告, Scientific and technical reports of Faculty of Engineering and Resource Science,Akita University},
 month = {Oct},
 note = {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.},
 pages = {17--24},
 title = {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},
 volume = {28},
 year = {2007}
}