Mixed Fuzzy-System and Artificial Neural Network Approach to the Automated Recognition of Mouth Expressions

title: Mixed Fuzzy-System and Artificial Neural Network Approach to the Automated Recognition of Mouth Expressions
author(s): J.C. Wojdel & L.J.M. Rothkrantz
published in: 1998
appeared in: L. Niklasson, M. Boden, T. Ziemke (Eds.)
Proceedings of the 8th International Conference on Artificial Neural Networks
ICANN 98
Skovde, Sweden
pages: pp. 833-838
publisher: Springer-Verlag

Abstract

At this moment there is an ongoing project in the Knowledge Based Systems group at the Delft University of Technology, which is aimed at the development of the Integrated System for Facial Expression Recognition (ISFER). In this project the works about image processing, feature extraction and interpretation of the results are bound in a single system. One of the most important parts of the facial expression recognition is recognizing the mouth expression. This paper describes a new approach to this task. Contrary to the works already done in this fields, it is rather knowledge- than graphically-based. We use here the fuzzy-system in combination with the artificial neural network to obtain the recognition of the mouth shape.

 
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