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Modeling and training emotional talking faces of virtual actors in synthetic movies

This paper presents an overview of a virtual actor system composed of several subsystems designed to automate some of these animation tasks. Our emphasis is on the facial animation of virtual actors. The paper specifically details the situations processor component of the framework, which is a major building block in the automatic virtual actor system. An expert system using a fuzzy knowledge-based control system is used to realize the automated system. Fuzzy linguistic rules are used to train virtual actors to know the appropriate emotions and gestures to use in different situations of a synthetic movie, the higher level parameters of which are provided by human directors. Theories of emotion, personality, dialogue, and acting, as well as empirical evidence is incorporated into our framework and knowledge bases to produce promising results.