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| Layered Fuzzy Facial Expression Generation Based on Sociality, Emotion and Physiology |
| XUE Yu-Li1,MAO Xia1,Catalin-Daniel CALEANU2,CHANG Qing1 |
1.School of Electronic and Information Engineering,Beihang University,Beijing 100191
2.Faculty of Electronics and Telecommunications,University POLITEHNICA Timisoara,300223 Timisoara,Romania |
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Abstract In the existing models of facial expression generation, few models include comprehensive types of emotions, sources of facial expressions besides emotion and variable facial expressions. Thus a novel model of layered fuzzy facial expression generation is proposed. In this model, social, emotional and physiological factors are considered in different layers producing different effect on facial expression generation, and fuzzy theory is utilized to generate smart and abundant facial expressions. Then, a layered intelligent fuzzy facial expression generation system based on this model is founded and evaluated. The results show the effectiveness of the layered fuzzy facial expression generation is fine in human computer interaction.
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Received: 07 February 2009
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2010, Vol. 23 
