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2005 IEEE International Conference on Multimedia and Expo
An intelligent system for facial emotion recognition
Amsterdam, Netherlands
July 06-July 06
ISBN: 0-7803-9331-7
ASCII Text
x 
 
R. Cowie, E. Douglas-Cowie, J.G. Taylor, S. Ioannou, M. Wallace, S. Kollias, "An intelligent system for facial emotion recognition," Multimedia and Expo, IEEE International Conference on, pp. 4 pp., 2005 IEEE International Conference on Multimedia and Expo, 2005.
 
 
BibTex
x
 
@article{ 10.1109/ICME.2005.1521570,
author = {R. Cowie and E. Douglas-Cowie and J.G. Taylor and S. Ioannou and M. Wallace and S. Kollias},
title = {An intelligent system for facial emotion recognition},
journal ={Multimedia and Expo, IEEE International Conference on},
volume = {0},
year = {2005},
isbn = {0-7803-9331-7},
pages = {4 pp.},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICME.2005.1521570},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Multimedia and Expo, IEEE International Conference on
TI - An intelligent system for facial emotion recognition
SN - 0-7803-9331-7
SP
EP
A1 - R. Cowie,
A1 - E. Douglas-Cowie,
A1 - J.G. Taylor,
A1 - S. Ioannou,
A1 - M. Wallace,
A1 - S. Kollias,
PY - 2005
KW - classification technique
KW - intelligent system
KW - facial emotion recognition
KW - psychological finding
KW - fuzzy rule based system
KW - 2D emotion space representation
KW - clustering technique
VL - 0
JA - Multimedia and Expo, IEEE International Conference on
ER -
 
R. Cowie, Dept. of Psychol., Queensland Univ. of Belfast, Northern Ireland, UK
E. Douglas-Cowie, Dept. of Psychol., Queensland Univ. of Belfast, Northern Ireland, UK
An intelligent emotion recognition system, interweaving psychological findings about emotion representation with analysis and evaluation of facial expressions has been generated and its performance has been investigated with experimental real data. Additionally, a fuzzy rule based system has been created for classifying facial expressions to the six archetypal emotion categories. The continuous 2-D emotion space was then examined and a pool of known and novel classification and clustering techniques have been applied to our data obtaining high rates in classification and clustering into quadrants of the emotion representation space.
Index Terms:
classification technique, intelligent system, facial emotion recognition, psychological finding, fuzzy rule based system, 2D emotion space representation, clustering technique
Citation:
R. Cowie, E. Douglas-Cowie, J.G. Taylor, S. Ioannou, M. Wallace, S. Kollias, "An intelligent system for facial emotion recognition," icme, pp.4 pp., 2005 IEEE International Conference on Multimedia and Expo, 2005
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