Interrelating physical feature of facial expression and its impression

K. Suzuki, H. Yamada, S. Hashimoto

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Citations (Scopus)

    Abstract

    The purpose of this work is to analyze human perception on the basis of a model of the interrelationship between physical feature of face and its emotional impression by using a unique neural network that is able to find mapping of non-linear relationship. Human's impressions of faces can be visualized on to the two or three dimensional semantic space that is nonlinearly mapped from facial physical parameters. Additionally, by obtaining the inverse nonlinear mapping, facial expressions can be reproduced from the semantic parameters. This approach does not only show good performance compared to the conventional statistical method, but also able to map a new data that are not used at the training phase to examine the appropriateness of the obtained mapping function.

    Original languageEnglish
    Title of host publicationProceedings of the International Joint Conference on Neural Networks
    Pages1864-1869
    Number of pages6
    Volume3
    Publication statusPublished - 2001
    EventInternational Joint Conference on Neural Networks (IJCNN'01) - Washington, DC
    Duration: 2001 Jul 152001 Jul 19

    Other

    OtherInternational Joint Conference on Neural Networks (IJCNN'01)
    CityWashington, DC
    Period01/7/1501/7/19

    ASJC Scopus subject areas

    • Software

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  • Cite this

    Suzuki, K., Yamada, H., & Hashimoto, S. (2001). Interrelating physical feature of facial expression and its impression. In Proceedings of the International Joint Conference on Neural Networks (Vol. 3, pp. 1864-1869)