Literature DB >> 33825127

FACSHuman, a software program for creating experimental material by modeling 3D facial expressions.

Michaël Gilbert1, Samuel Demarchi2, Isabel Urdapilleta1.   

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.

Entities:  

Keywords:  Avatars; Emotion; FACS; Facial expressions; Nonverbal communication

Year:  2021        PMID: 33825127     DOI: 10.3758/s13428-021-01559-9

Source DB:  PubMed          Journal:  Behav Res Methods        ISSN: 1554-351X


  14 in total

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Journal:  Behav Res Methods       Date:  2015-03

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Journal:  Trends Cogn Sci       Date:  2018-03-12       Impact factor: 20.229

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Journal:  Perception       Date:  1993       Impact factor: 1.490

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Journal:  Br J Psychol       Date:  1993-11

8.  Configural information in gender categorisation.

Authors:  Jean-Yves Baudouin; Glyn W Humphreys
Journal:  Perception       Date:  2006       Impact factor: 1.490

9.  FACSGen 2.0 animation software: generating three-dimensional FACS-valid facial expressions for emotion research.

Authors:  Eva G Krumhuber; Lucas Tamarit; Etienne B Roesch; Klaus R Scherer
Journal:  Emotion       Date:  2012-01-16

10.  Gender differences in judgments of multiple emotions from facial expressions.

Authors:  Judith A Hall; David Matsumoto
Journal:  Emotion       Date:  2004-06
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  1 in total

1.  Quantifying dynamic facial expressions under naturalistic conditions.

Authors:  Jayson Jeganathan; Megan Campbell; Matthew Hyett; Gordon Parker; Michael Breakspear
Journal:  Elife       Date:  2022-08-31       Impact factor: 8.713

  1 in total

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