Literature DB >> 32105704

Measuring the evolution of facial 'expression' using multi-species FACS.

B M Waller1, E Julle-Daniere2, J Micheletta2.   

Abstract

Darwin observed that form, and in his view, meaning, of facial behaviour (observable changes in the appearance of the face, often termed facial 'expression') is similar between a wide range of species and concluded that this must be due to a shared ancestral origin. Yet, as with all social behaviours, exactly how to define similarity and determine homology is debated. Facial behaviour is linked to specific facial muscle movements, so one important factor in determining homology is the anatomical basis of facial behaviours that appear similar in both appearance and social function. The Facial Action Coding System (FACS) was developed for the scientific measurement of human facial behaviour and is based on individual facial muscle movements (Ekman and Friesen, 1978). FACS has since been modified for use with various non-human primate species (chimpanzees, macaques, hylobatids, orangutans) and domestic species (dogs, cats, horses). These FACS can be used to trace continuity of form in facial behaviour across species and build a better understanding of the evolution of facial communication in mammals.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Communication; Emotion; FACS; Facial behaviour; Facial displays; Facial expression; Facial muscles; Primates

Mesh:

Year:  2020        PMID: 32105704     DOI: 10.1016/j.neubiorev.2020.02.031

Source DB:  PubMed          Journal:  Neurosci Biobehav Rev        ISSN: 0149-7634            Impact factor:   8.989


  17 in total

1.  Revisiting Darwin's comparisons between human and non-human primate facial signals.

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5.  Extending the MaqFACS to measure facial movement in Japanese macaques (Macaca fuscata) reveals a wide repertoire potential.

Authors:  Catia Correia-Caeiro; Kathryn Holmes; Takako Miyabe-Nishiwaki
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6.  Bodily emotional expressions are a primary source of information for dogs, but not for humans.

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8.  Automatic Recognition of Macaque Facial Expressions for Detection of Affective States.

Authors:  Anna Morozov; Lisa A Parr; Katalin Gothard; Rony Paz; Raviv Pryluk
Journal:  eNeuro       Date:  2021-12-09

Review 9.  Visual bodily signals as core devices for coordinating minds in interaction.

Authors:  Judith Holler
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2022-07-25       Impact factor: 6.671

10.  A shared mechanism for facial expression in human faces and face pareidolia.

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Journal:  Proc Biol Sci       Date:  2021-07-07       Impact factor: 5.349

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