Abstract
MPEG-4 facial animation parameters are used in order to evaluate theoretical predictions for intermediate expressions of a given emotion episode, based on Scherer’s appraisal theory. MPEG-4 FAPs and action units are combined in modelling the effects of appraisal checks on facial expressions and temporal evolution issues of facial expressions are investigated. The results of the synthesis process can then be applied to Embodied Conversational Agents (ECAs), rendering their interaction with humans, or other ECAs, more affective.KeywordsFacial ExpressionAffective ComputingFacial Action Code SystemAppraisal TheoryIntermediate ExpressionThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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