Emotion generating calculations based on hidden Markov model

Abstract

The EGCs can calculate a human being's current emotion from the content of the utterance. In this paper, we extend the EGCs to refer variance of emotions based on Hidden Markov Model (HMM). Because the EGCs focus on 20 types of emotion, a 20-dimension vector is checked for a stimulus from external world. The enfeeblement process of the emotion vector's degree is expressed by the exponential distribution function and the current emotion vector is calculated based on HMM.