ArticleBehavior research methods2021
FACSHuman, a software program for creating experimental material by modeling 3D facial expressions.
Article in Behavior research methods, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed.
- Pulvinar-posterior superior temporal sulcus connectivity contributes to non-conscious emotion processing in affective blindsight.Cerebral cortex (New York, N.Y. : 1991) · 2026Article
- Double dissociation of dynamic and static face perception provides causal evidence for a third visual pathway.Nature communications · 2025Article
- Functional and Morphological Differences in the Play Face and Full Play Face in Lowland Gorillas, a Hominid Species: Implications for the Evolutionary Roots of Smile and Laugh Face.American journal of biological anthropology · 2025Article
- Markers of positive affect and brain state synchrony discriminate melancholic from non-melancholic depression using naturalistic stimuli.Molecular psychiatry · 2025Article
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3 authors.
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Abstract
This paper presents the FACSHuman software program, a tool for creating facial expression materials (pictures and videos) based on the Facial Action Coding System (FACS) developed by Ekman et al. (2002). FACSHuman allows almost all the Action Units (AUs) described in the FACS Manual to be manipulated through a three-dimensional modeling software interface. Four experiments were conducted to evaluate facial expressions of emotion generated by the software and their theoretical efficiency regarding the FACS. The first study (a categorization task of facial emotions such as happiness, anger, etc.) showed that 85% of generated pictures of emotional expressions were correctly categorized. The second study showed that only 82% of the most-used AUs were correctly matched. In the third experiment, two independent FACS coders rated 47 AUs generated by FACSHuman using the standard methodology used in this kind of task (AU identification). Results showed good-to-excellent codification rates (64% and 85%). In the last experiment, 54 combinations of AU were evaluated by the same FACS coders. Results showed good-to-excellent codification rates (68-82%). Results suggested that FACSHuman could be used as experimental material for research into nonverbal communication and emotional expression.
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