JACIII Vol.1 No.1 pp. 45-61
doi: 10.20965/jaciii.1997.p0045


Fuzzy Modeling based Approach to Facial Expressions Understanding

Anca Ralescu* and Riad Hartani**

*ECE&CS Department, University of Cincinnati, Cincinnati, Ohio 45221, USA

**Nortel-Entreprise Networks, Ottawa, Canada

March 30, 1997
May 20, 1997
October 20, 1997
Facial expressions, Facial information processing, Fuzzy modeling, Hybrid reasoning, Human perception modelling
We consider two problems related to the understanding of facial expressions: (I) modeling the perception of human facial expressions from information extracted from face photographs and (II) reasoning about the transition between facial expressions as modeled in (I). For (I) we develop a hierarchical fuzzy modeling method. The results obtained are satisfactory when compared with those of other approaches: for the six basic facial expressions (happiness, surprise, sadness, anger, disgust and fear), we achieve a recognition ratio of 85 %. More importantly, in addition to the usual advantages of fuzzy rules such as easy interpretation and adaptability in a changing environment, our approach can be applied without additional training to (i) the identification of mixed facial expressions - the recognition ratio of the two strongest facial expressions in the same face being about 75%, and (ii) the recognition in noisy environment (that is, our approach can successfully deal with lack of data). For (II) we propose a model for transition between facial expressions based on a hybrid reasoning scheme combining generalized modus tollens and fuzzy backward reasoning. Appropriate examples are used to illustrate our approach and we conclude with a discussion about future issues, and possible applications to an intelligent humancomputer interface using the transition model.
Cite this article as:
A. Ralescu and R. Hartani, “Fuzzy Modeling based Approach to Facial Expressions Understanding,” J. Adv. Comput. Intell. Intell. Inform., Vol.1 No.1, pp. 45-61, 1997.
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