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
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;
Conference_Titel :
Robot and Human Interactive Communication, 2001. Proceedings. 10th IEEE International Workshop on
Conference_Location :
Bordeaux, Paris
Print_ISBN :
0-7803-7222-0
DOI :
10.1109/ROMAN.2001.981900