Multi-level classification of emotional body expression

Abstract

Bodily expression of emotion is recently receiving a growing interest, in particular regarding the study of bodily expression of emotions in daily actions such as walking or knocking at the door. However, previous studies tend to focus on a limited range of actions or emotions. Based on a new motion capture database of emotional body expression in daily actions, we propose a deeper analysis of the expression of emotions in body movement based on different emotions, actions and a wide range of low-level body cues. Random Forest approach is applied to investigate the classification of emotions in different movement tasks and to study the contribution of different types of body cues to the classification of each expressed emotion.