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
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;
Conference_Titel :
Information Technology Interfaces, 2006. 28th International Conference on
Conference_Location :
Cavtat/Dubrovnik
Print_ISBN :
953-7138-05-4
DOI :
10.1109/ITI.2006.1708476