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
Link To Document :
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