T. Miura, K. Mitobe, Takaaki Kaiga, Takashi Yukawa, T. Taniguchi, H. Tamamoto
{"title":"Qualitative evaluation of quantitative dance motion data","authors":"T. Miura, K. Mitobe, Takaaki Kaiga, Takashi Yukawa, T. Taniguchi, H. Tamamoto","doi":"10.1145/1666778.1666787","DOIUrl":null,"url":null,"abstract":"In the field of dance motion analysis, the development of qualitative evaluation technique for the analysis of body motions described in the form of quantitative data is needed [Nakamura et al. 2008]; it makes dance motion data acquired by motion capture systems intuitively interpretable. In this study, the authors propose a method to automatically summarize the qualitative trend in a group of quantitative dance motion data; the motion features shown in all the dances are first quantitatively extracted by statistical analysis and then qualitatively categorized by cluster analysis.","PeriodicalId":180587,"journal":{"name":"ACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia","volume":"176 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1666778.1666787","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In the field of dance motion analysis, the development of qualitative evaluation technique for the analysis of body motions described in the form of quantitative data is needed [Nakamura et al. 2008]; it makes dance motion data acquired by motion capture systems intuitively interpretable. In this study, the authors propose a method to automatically summarize the qualitative trend in a group of quantitative dance motion data; the motion features shown in all the dances are first quantitatively extracted by statistical analysis and then qualitatively categorized by cluster analysis.
在舞蹈动作分析领域,需要发展定性评价技术,对以定量数据形式描述的身体动作进行分析[Nakamura et al. 2008];它使动作捕捉系统获取的舞蹈动作数据具有直观的可解释性。本文提出了一种从一组定量的舞蹈动作数据中自动总结定性趋势的方法;首先通过统计分析定量提取所有舞蹈的运动特征,然后通过聚类分析定性分类。