Abstract
Basic communication and coordination mechanisms of human social interaction are assumed to be mediated by perception-action links. These links ground the observation and understanding of others in one's own action generation system, as evidenced by immediate motor resonances to perceived behavior. We present a model to endow virtual embodied agents with similar properties of embodied perception. With a focus of hand-arm gesture, the model comprises hierarchical levels of motor representation (commands, programs, schemas) that are employed and start to resonate probabilistically to visual stimuli of a demonstrated movement. The model is described and evaluation results are provided. © 2009 Springer Berlin Heidelberg.
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CITATION STYLE
Sadeghipour, A., & Kopp, S. (2009). A probabilistic model of motor resonance for embodied gesture perception. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5773 LNAI, pp. 90–103). https://doi.org/10.1007/978-3-642-04380-2_13
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