模式识别与人工智能
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  2010, Vol. 23 Issue (5): 663-670    DOI:
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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.
Key wordsSociality      Emotion      Physiology      Layered Fuzzy Facial Expression Generation     
Received: 07 February 2009     
ZTFLH: TP391  
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XUE Yu-Li
MAO Xia
Catalin-Daniel CALEANU
CHANG Qing
Cite this article:   
XUE Yu-Li,MAO Xia,Catalin-Daniel CALEANU等. Layered Fuzzy Facial Expression Generation Based on Sociality, Emotion and Physiology[J]. , 2010, 23(5): 663-670.
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