摘要
本文建立了仿人类情感的情感模型,在情感模型中建立了三维情感空间,采用马尔可夫过程来描述情感状态的变化转移过程,并提出了性格矩阵,对比分析了不同性格人对相同刺激的反应。应用D-S证据理论融合来自视觉、声音及其他方面的情感信息,分析两种因素同时作用时引起情感状态的转移规律。最后将情感模型应用于情感机器人系统,使机器人可以根据外界刺激产生情感,并做出相应的表情。实验结果证明了情感模型的有效性。
In this paper, an affective model is built, in which the transition of emotion can be viewed as a Markov process. In this model the relation of emotion, external incentive and personality is also described, and the Dempster-Sharer evidence theory is used to combine the emotion information from vision, speech and the others. Finally this pa per integrates the affective model into the affective robot system. The application of this affective model on the emotion robot made the affective robot have personification emotion and personality. The results show this affective model can better simulate dynamic process of emotion transferring and changing spontaneously.
出处
《计算机科学》
CSCD
北大核心
2008年第6期158-162,共5页
Computer Science
基金
国家自然科学基金资助项目(基金号:60573059)
北京市“现代信息科学与网络技术”重点实验室资助项目(基金项目编号为:TDXX0503)
北京科技大学重点基金项目资助
