• DocumentCode
    2214075
  • Title

    Quantification of characteristic features of Japanese dance for individuality recognition

  • Author

    Yoshimura, Mitsu ; Mine, Norio ; Kai, Tamiko ; Yoshimura, Isao

  • Author_Institution
    Sch. of Design & Archit., Nagoya City Univ., Japan
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    188
  • Lastpage
    193
  • Abstract
    Using the Eva infrared system for motion capture which outputs 3D-track data, we traced a portion of the famous Japanese dance number Fuji-Musume. A characteristic motion, or furi, and some sub-motions were extracted from the data by a devised algorithm that was applied to dance scenarios performed by an expert and beginner. From the extracted motions, index variables (indices) defined to quantify four typical forms were measured, with results indicating that they were beneficial for evaluating dance skill and distinctiveness. Another experiment compared various dances, where it was also found that the proposed indices allow comparing characteristics of motions beyond the type of dance
  • Keywords
    computer animation; humanities; 3D track data; Eva infrared system; Fuji-Musume; Japanese dance; animation; characteristic features; characteristic motion; dance skill; distinctiveness; furi; humanities; index variables; individuality recognition; motion capture; sub-motions; Art; Character recognition; Data engineering; Data mining; Design engineering; Humans; Infrared detectors; Motion analysis; Motion measurement; Performance evaluation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robot and Human Interactive Communication, 2001. Proceedings. 10th IEEE International Workshop on
  • Conference_Location
    Bordeaux, Paris
  • Print_ISBN
    0-7803-7222-0
  • Type

    conf

  • DOI
    10.1109/ROMAN.2001.981900
  • Filename
    981900