Emotion Estimation from Robot Movements Using Weighted Random Forest and Pairwise Classification
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Recently, various communication robots are developed. These robots have functions to express emotions. Emotions are influenced by verbal and nonverbal information. Nonverbal information including facial expression and body movements has a greater influence on emotional interaction than verbal information has. In this paper, we focus on body movement, which is one of way for a robot to express its emotions for communication using nonverbal information. Emotions are expressed with some basic emotions. We defined two emotions, a primary emotion and a secondary emotion. We propose an estimation method using weighted random forest and pairwise classification. We confirm effectiveness of the proposed method.
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