Literature DB >> 33823922

Imitation and recognition of facial emotions in autism: a computer vision approach.

Behnoush Behnia1, Stefan Roepke1, Isabel Dziobek2,3, Hanna Drimalla4,5,6,7, Irina Baskow2,1.   

Abstract

BACKGROUND: Imitation of facial expressions plays an important role in social functioning. However, little is known about the quality of facial imitation in individuals with autism and its relationship with defining difficulties in emotion recognition.
METHODS: We investigated imitation and recognition of facial expressions in 37 individuals with autism spectrum conditions and 43 neurotypical controls. Using a novel computer-based face analysis, we measured instructed imitation of facial emotional expressions and related it to emotion recognition abilities.
RESULTS: Individuals with autism imitated facial expressions if instructed to do so, but their imitation was both slower and less precise than that of neurotypical individuals. In both groups, a more precise imitation scaled positively with participants' accuracy of emotion recognition. LIMITATIONS: Given the study's focus on adults with autism without intellectual impairment, it is unclear whether the results generalize to children with autism or individuals with intellectual disability. Further, the new automated facial analysis, despite being less intrusive than electromyography, might be less sensitive.
CONCLUSIONS: Group differences in emotion recognition, imitation and their interrelationships highlight potential for treatment of social interaction problems in individuals with autism.

Entities:  

Keywords:  Autism; Automated analysis; Emotion recognition; Facial expression; Imitation

Year:  2021        PMID: 33823922     DOI: 10.1186/s13229-021-00430-0

Source DB:  PubMed          Journal:  Mol Autism            Impact factor:   7.509


  36 in total

Review 1.  Facial emotion recognition in autism spectrum disorders: a review of behavioral and neuroimaging studies.

Authors:  Madeline B Harms; Alex Martin; Gregory L Wallace
Journal:  Neuropsychol Rev       Date:  2010-09-01       Impact factor: 7.444

Review 2.  Fashioning the Face: Sensorimotor Simulation Contributes to Facial Expression Recognition.

Authors:  Adrienne Wood; Magdalena Rychlowska; Sebastian Korb; Paula Niedenthal
Journal:  Trends Cogn Sci       Date:  2016-02-11       Impact factor: 20.229

3.  Asperger's syndrome and high-functioning autism.

Authors:  Laura Arnstein Carpenter; Latha Soorya; Danielle Halpern
Journal:  Pediatr Ann       Date:  2009-01       Impact factor: 1.132

4.  Face to face: blocking facial mimicry can selectively impair recognition of emotional expressions.

Authors:  Lindsay M Oberman; Piotr Winkielman; Vilayanur S Ramachandran
Journal:  Soc Neurosci       Date:  2007       Impact factor: 2.083

5.  The role of facial mimicry in the recognition of affect.

Authors:  Mariëlle Stel; Ad van Knippenberg
Journal:  Psychol Sci       Date:  2008-10

Review 6.  Social cognition in humans.

Authors:  Chris D Frith; Uta Frith
Journal:  Curr Biol       Date:  2007-08-21       Impact factor: 10.834

7.  Reduced spontaneous facial mimicry in women with autistic traits.

Authors:  Erno J Hermans; Guido van Wingen; Peter A Bos; Peter Putman; Jack van Honk
Journal:  Biol Psychol       Date:  2008-12-24       Impact factor: 3.251

8.  Impairments in facial affect recognition associated with autism spectrum disorders: a meta-analysis.

Authors:  Leah M Lozier; John W Vanmeter; Abigail A Marsh
Journal:  Dev Psychopathol       Date:  2014-06-10

9.  Recognition of emotions in autism: a formal meta-analysis.

Authors:  Mirko Uljarevic; Antonia Hamilton
Journal:  J Autism Dev Disord       Date:  2013-07

10.  Blocking mimicry makes true and false smiles look the same.

Authors:  Magdalena Rychlowska; Elena Cañadas; Adrienne Wood; Eva G Krumhuber; Agneta Fischer; Paula M Niedenthal
Journal:  PLoS One       Date:  2014-03-26       Impact factor: 3.240

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  2 in total

1.  Application of Machine Learning Techniques to Detect the Children with Autism Spectrum Disorder.

Authors:  Mengyi Liao; Hengyao Duan; Guangshuai Wang
Journal:  J Healthc Eng       Date:  2022-03-25       Impact factor: 2.682

2.  Implementation of an Intelligent Exam Supervision System Using Deep Learning Algorithms.

Authors:  Fatima Mahmood; Jehangir Arshad; Mohamed Tahar Ben Othman; Muhammad Faisal Hayat; Naeem Bhatti; Mujtaba Hussain Jaffery; Ateeq Ur Rehman; Habib Hamam
Journal:  Sensors (Basel)       Date:  2022-08-25       Impact factor: 3.847

  2 in total

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