• 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