The recognition of facial expressions of emotion in deaf and hearing individuals.
Bayesian hierarchical modelling
Dynamic versus static expression recognition
Facial expression recognition
Psychophysics
Journal
Heliyon
ISSN: 2405-8440
Titre abrégé: Heliyon
Pays: England
ID NLM: 101672560
Informations de publication
Date de publication:
May 2021
May 2021
Historique:
received:
03
02
2021
revised:
25
03
2021
accepted:
04
05
2021
entrez:
27
5
2021
pubmed:
28
5
2021
medline:
28
5
2021
Statut:
epublish
Résumé
During real-life interactions, facial expressions of emotion are perceived dynamically with multimodal sensory information. In the absence of auditory sensory channel inputs, it is unclear how facial expressions are recognised and internally represented by deaf individuals. Few studies have investigated facial expression recognition in deaf signers using dynamic stimuli, and none have included all six basic facial expressions of emotion (anger, disgust, fear, happiness, sadness, and surprise) with stimuli fully controlled for their low-level visual properties, leaving the question of whether or not a dynamic advantage for deaf observers exists unresolved. We hypothesised, in line with the
Identifiants
pubmed: 34041389
doi: 10.1016/j.heliyon.2021.e07018
pii: S2405-8440(21)01121-X
pmc: PMC8141778
doi:
Types de publication
Journal Article
Langues
eng
Pagination
e07018Informations de copyright
© 2021 The Author(s).
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