Generation of Facial Expressions from Emotion Using a Fuzzy Rule Based System
نویسندگان
چکیده
We propose a fuzzy rule-based system to map representations of the emotional state of an animated agent onto muscle contraction values for the appropriate facial expressions. Our implementation pays special attention to the way in which continuous changes in the intensity of emotions can be displayed smoothly on the graphical face. The rule system we have defined implements the patterns described by psychologists and researchers dealing with facial expressions of humans, including rules for displaying blends of expressions.
منابع مشابه
Layered Fuzzy Facial Expression Generation: Social, Emotional and Physiological
Facial expression plays an important role in human’s daily life, as indicated by (Mehrabian, 1968), in face-to-face human communication, only 7% of the communicative message is due to linguistic language, 38% is due to paralanguage, while 55% of it is transferred by facial expressions. Currently, facial expression has been widely researched in psychology, sociology, cognitive science, biology, ...
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