文章基本信息

标题：Extraction of Motion Characteristics in Dances by Statistical Analysis of Joint Motions
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作者：Takeshi Miura ; Kazutaka Mitobe ; Takashi Yukawa 等
期刊名称：Information and Media Technologies
电子版ISSN：1881-0896
出版年度：2010
卷号：5
期号：2
页码：610-623
DOI：10.11185/imt.5.610
出版社：Information and Media Technologies Editorial Board
摘要：In this paper, the authors attempt to develop a technique for the analysis of the motions of dances having no stylized motion structure, focusing on joint motions. The variance-covariance matrix given by the statistical analysis of the time-series data of joint motions is selected for the evaluation index characterizing dance motions. The application of the derived evaluation index to the representation of dissimilarity between dances is shown to be effective when the whole commonness appearing in both the dances compared should be considered. It is also confirmed that the application of multidimensional scaling (MDS) with the orthogonal rotation of coordinate axes is effective to extract the distribution feature of a database of dances. The evaluation items characterizing all the dances belonging to the database are automatically extracted by the analysis of correlation between the coordinate axes given by MDS and the elements of the variance-covariance matrix.