Towards Learning Affective Body Gesture Andrea Kleinsmith Nadia Bianchi-Berthouze Database Systems Lab University of Aizu Aizu-Wakamatsu, Japan August 4th, 2003
Categorization Experiment: Mapping Emotion The output is an emotional label that categorizes the affective posture input. Input to the network is in the form of a body gesture description. In the feedback loop, the number of nodes grows incrementally as new categories are introduced.
Closing the Loop
Experiment: Identify Important Features of Body Language Avatar with human-like motions Avatar with robot-like motions Subjective evaluation
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