Abstract
A set of physical feature values, called a Laban’s feature set, is proposed to explain an observer’s impression of bodily expression. The design concept of our Laban’s feature value set is based on Laban Movement Analysis, which is a well known theory in body movement psychology. For practical application to human-agent interaction (HAI), use a human-form robot (HFR) as a motioning object. A correlation between our Laban’s feature set and the HFR’s emotions (Pleasure, Anger, Sadness and Relaxed), which subjects estimated, was examined. In reference to Russell’s circumplex model of affect, we discuss the correlation using two axial (“pleasure-displeasure” and “degree of arousal”) characteristics. Finally, we present four estimation equations with accuracy rates of more than 85%.
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Masuda, M., Kato, S., Itoh, H. (2009). Emotion Detection from Body Motion of Human Form Robot Based on Laban Movement Analysis. In: Yang, JJ., Yokoo, M., Ito, T., Jin, Z., Scerri, P. (eds) Principles of Practice in Multi-Agent Systems. PRIMA 2009. Lecture Notes in Computer Science(), vol 5925. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11161-7_22
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DOI: https://doi.org/10.1007/978-3-642-11161-7_22
Publisher Name: Springer, Berlin, Heidelberg
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