FACSGen: A Tool to Synthesize Emotional Facial Expressions Through Systematic Manipulation of Facial Action Units |
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Authors: | Etienne B Roesch Lucas Tamarit Lionel Reveret Didier Grandjean David Sander Klaus R Scherer |
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Institution: | 1.Department of Psychology,University of Geneva,Geneva,Switzerland;2.Swiss Centre for Affective Sciences,CISA, University of Geneva,Geneva,Switzerland;3.INRIA,Rh?ne-Alpes,France;4.Department of Computing,Imperial College London,London,UK |
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Abstract: | To investigate the perception of emotional facial expressions, researchers rely on shared sets of photos or videos, most often
generated by actor portrayals. The drawback of such standardized material is a lack of flexibility and controllability, as
it does not allow the systematic parametric manipulation of specific features of facial expressions on the one hand, and of
more general properties of the facial identity (age, ethnicity, gender) on the other. To remedy this problem, we developed
FACSGen: a novel tool that allows the creation of realistic synthetic 3D facial stimuli, both static and dynamic, based on
the Facial Action Coding System. FACSGen provides researchers with total control over facial action units, and corresponding
informational cues in 3D synthetic faces. We present four studies validating both the software and the general methodology
of systematically generating controlled facial expression patterns for stimulus presentation. |
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