• DocumentCode
    2597636
  • Title

    An analysis of motion features of different characters in Nihon-buyo dance using motion capture

  • Author

    Sakata, Mamiko ; Marumo, Mieko ; Hachimura, Kozaburo

  • Author_Institution
    Fac. of Culture & Inf. Sci., Doshisha Univ., Kyoto
  • fYear
    2008
  • fDate
    1-3 Aug. 2008
  • Firstpage
    273
  • Lastpage
    278
  • Abstract
    This research was intended to investigate the relationship between body motion and Kansei, or emotional features, conveyed by motion. A work of Japanese traditional dance (Nihon- buyo) in which a performer plays several different roles or characters has been used for a subject of investigation. Through the psychological rating experiment observing a CG character animation in an abstract representation, we found that the observer recognized the impressional factors of the body motions of each individual character or role based on the four aspects: dasiaactivitypsila, dasiapotencypsila, dasiagenderpsila and dasiacomplexitypsila. By the analysis of PCA on 22 physical features extracted from body motion data, we found that the variation of the motions could be expressed by four indices; velocity, height of waist, openness of the body and the range of the height of waist. By using a multiple regression analysis, we discovered the relationship between the impressional features given by the motion and the physical motion features.
  • Keywords
    computer animation; feature extraction; image motion analysis; principal component analysis; regression analysis; CG character animation; Japanese traditional dance; Kansei; Nihon-Buyo dance; PCA; abstract representation; body motion; impressional factors; motion capture; motion features analysis; multiple regression analysis; Animation; Character generation; Data mining; Feature extraction; Humans; Information processing; Motion analysis; Psychology; Regression analysis; Robots;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robot and Human Interactive Communication, 2008. RO-MAN 2008. The 17th IEEE International Symposium on
  • Conference_Location
    Munich
  • Print_ISBN
    978-1-4244-2212-8
  • Electronic_ISBN
    978-1-4244-2213-5
  • Type

    conf

  • DOI
    10.1109/ROMAN.2008.4600678
  • Filename
    4600678