Emotion Detection from Body Motion of Human Form Robot Based on Laban Movement Analysis
نویسندگان
چکیده
A set of physical feature values, called Laban feature set, is proposed in order to explain observers impression of bodily expression. The design concept of the Laban feature value set is based on Laban Movement Analysis, which is a famous theory in body movement psychology. In this paper, for practial application to Human-Agent Interaction(HAI), we consider adopt Human Form Robot (HFR) as a motioning object. A correlation of between Laban feature set and HFR’s emotions (Happy, Angry, Sad and Relaxed) which subjects estimated was examined. In reference to Russell’s circumplex model of affect, we discussed the correlation by each axial (“pleasure-displeasure” and “degree of arousal”) characteristic. Finally we presented four estimation equations with the accuracy rates more than 85%.
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