Estimation of Mixed Emotions by Fuzzy Reasoning based on Plutchik’s Wheel

Abstract

Affective computing is an interdisciplinary research field that tries to make computers (machines) have the ability to understand and express emotions as human beings. It plays an important role in human-computer interaction. Because human emotion is mainly expressed through facial expressions, facial expression recognition has attracted the attention of many computer vision researchers. The facial expression recognition refers to the use of computer analysis of people's facial expressions, and then to determine the emotional state or mental activities. This research aims to estimate the mixed emotions based on the basic emotions in Plutchik’s Wheel. Because Plutchik said ” All other emotions are mixed or derivative states; that is, they occur as combinations, mixtures, or compounds of the primary emotions[1].” Here , the mixed emotions are awe, remorse, disapproval, and contempt, and the basic emotions are happiness, surprise, anger, sadness, fear, and disgust. In this paper, the information of the basic emotions is obtain from facial expression features and the mixed emotions are estimated by fuzzy reasoning using the information.