基于社交、情感和生理的分层模糊表情生成  

Layered Fuzzy Facial Expression Generation Based on Sociality,Emotion and Physiology

作　　者：薛雨丽[1] 毛峡[1] Catalin-Daniel CALEANU 常青[1] 

机构地区：[1]北京航空航天大学电子信息工程学院,北京100191 [2]Faculty of Electronics and Telecommunications,University POLITEHNICA Timisoara

出　　处：《模式识别与人工智能》2010年第5期663-670,共8页Pattern Recognition and Artificial Intelligence

基　　金：国家自然科学基金(No.60873269;60872062);教育部博士点基金(No.20070006057)资助项目

摘　　要：针对目前人脸表情生成模型存在的情感类型较少、未考虑除情感以外产生表情的其它来源以及表情模式固定的局限性,提出一个分层模糊表情生成模型.该模型考虑社交、情感和生理等不同层次对表情生成的影响,利用模糊理论生成灵活、丰富的表情.基于该模型建立分层智能模糊表情生成系统,并对该系统进行评价,其结果说明分层模糊表情生成在人机交互中起到较好作用.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.

关 键 词：社交 情感 生理 分层模糊表情生成 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]