Qualitative evaluation of quantitative dance motion data

  • Authors:
  • Takeshi Miura;Kazutaka Mitobe;Takaaki Kaiga;Takashi Yukawa;Toshiyuki Taniguchi;Hideo Tamamoto

  • Affiliations:
  • Akita University;Akita University;Warabi-za;North Asia University;Akita University;Akita University

  • Venue:
  • ACM SIGGRAPH ASIA 2009 Posters
  • Year:
  • 2009

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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.