A Model of Affective Agent Based on Affective Computing and Its Application in Network Learning System

摘要

Based on psychology and affective computing and applied the relationship between emotion and gesture, this paper set up a affective computing model. It can identify user's emotion variety according to variety of user's emotion and gesture. A network learning system is introduced, which uses the model above to get the change in emotion by the change in behavior or gesture. The whole structure design, the function of five parts and core code of this system are also offered. This system realizes the function of emotion communication in human-machine interaction and makes up for the short of emotion.