Title

Neurofuzzy recognition and generation of facial features in talking heads

Abstract

We shown that fuzzy neural nets can rate the emotional feedback message implicit in human facial expressions at a level comparable to human performance. We also identify primitive and derived features in facial expressions and animations. We also report on a partial solution to the difficult inverse problem of generating naturalistic facial expressions from summary abstract descriptions of the emotional feedback to be conveyed.

Publication Title

IEEE International Conference on Fuzzy Systems

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