DocumentCode
2665299
Title
Connectionist and ethological approaches for discovering salient facial movements features in human gender recognition
Author
Guérif, Sébastien ; Bennani, Younès ; Baudoin, Claude
Author_Institution
LIPN, Univ. of Paris 13
fYear
0
fDate
0-0 0
Firstpage
189
Lastpage
194
Abstract
Individual facial movements signal various social information to other persons, like the gender of the sender. We used an ethological and a connectionist approaches in order to detect these movements and their characteristics in men and in women. Behavioural results indicate both qualitative and quantitative differences between men and women. The connectionist approach involves similar and complementary conclusions. The ethological study has been focused on the main movement differences as well as did the connectionist one but this last approach showed important differences between men and women in motionless events. These pilot results leads to a re-examination of behavioural events and a checking of lateralization of movements correlated with the gender
Keywords
face recognition; feature extraction; gender issues; pattern clustering; self-organising feature maps; unsupervised learning; connectionist approach; ethological approach; human gender recognition; motionless events; qualitative differences; quantitative differences; salient facial movements feature discovery; self-organizing maps; unsupervised learning; Face detection; Face recognition; Facial features; Humans; Production; Protocols; Spatial databases; Testing; Unsupervised learning; Video recording;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology Interfaces, 2006. 28th International Conference on
Conference_Location
Cavtat/Dubrovnik
ISSN
1330-1012
Print_ISBN
953-7138-05-4
Type
conf
DOI
10.1109/ITI.2006.1708476
Filename
1708476
Link To Document