DocumentCode
3221152
Title
A three-mode expressive feature model of action effort
Author
Davis, James W. ; Gao, Hui ; Kannappan, Vignesh S.
Author_Institution
Dept. of Comput. & Inf. Sci., Ohio State Univ., Columbus, OH, USA
fYear
2002
fDate
5-6 Dec. 2002
Firstpage
139
Lastpage
144
Abstract
We present an expressive feature model for recognizing the performance effort of human actions. A set of low and high effort examples for an action are initially factored into its three-mode principal components, followed by a learning phase to compute the expressive features required to bring the model estimation of effort into agreement with perceptual judgements. The approach is demonstrated using real and illusory movements.
Keywords
computer vision; gait analysis; image motion analysis; learning (artificial intelligence); parameter estimation; principal component analysis; video signal processing; athletic training; computer vision; ergonomic monitoring system; expressive feature model; human action effort estimation; learning phase; motion-capture animations; perceptual dynamics; surveillance systems; three-mode principal components; video annotation; Animation; Computational intelligence; Hidden Markov models; Humans; Information science; Injuries; Legged locomotion; Packaging; Patient monitoring; Phase estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Motion and Video Computing, 2002. Proceedings. Workshop on
Print_ISBN
0-7695-1860-5
Type
conf
DOI
10.1109/MOTION.2002.1182226
Filename
1182226
Link To Document