Analysis of softwares for emotion recognition in children and teenagers with autism spectrum disorder

Detalhes bibliográficos
Autor(a) principal: Azoni, Cíntia Alves Salgado
Data de Publicação: 2019
Outros Autores: Lima, Antonio Marcos Oliveira de, Medeiros, Maxson Ramon dos Anjos, Costa, Paula Dornhofer Paro
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFRN
Texto Completo: https://repositorio.ufrn.br/handle/123456789/52324
http://dx.doi.org/10.1590/1982-02162019/21112318
Resumo: Purpose: to investigate the use of softwares for emotion recognition in children and teenagers with Autism Spectrum Disorders (ASD). Methods: an integrative review of the literature with scientific papers published from 2012 to 2017 indexed in Periódico Capes, Science Direct, and PudMed; combined descriptors: autism AND emotion AND software; autism AND emotion recognition AND software. Inclusion criterion was the use of software related to emotion recognition in children and teenagers with ASD, up to 18 years old. Review papers and those using robots were excluded. Results: ten international papers were reviewed. The most used emotional expressions were “happiness”, “fear”, “anger”, “disgust”, “sadness”, and “surprise”. Ten software programs were described: Emotion Recognition Task (1), Cambridge Mindreading Face-Voice Battery for Children (3), Mind Reading (2), Mood Maker (1), Virtual-Reality Emotion Sensitivity Test (1), FaceSay (1), Penn Emotion Recognition (1), FaceMaze Game (1), Computer Emotion Recognition Toolbox (CERT) (1), and Emotiplay (1). Conclusion: studies with software programs focused on ASD intervention allow future research efforts in the diagnosis and intervention of this disorder.
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spelling Azoni, Cíntia Alves SalgadoLima, Antonio Marcos Oliveira deMedeiros, Maxson Ramon dos AnjosCosta, Paula Dornhofer Parohttps://orcid.org/0000-0003-2175-96762023-05-11T22:43:41Z2023-05-11T22:43:41Z2019LIMA, Antonio Marcos Oliveira de; MEDEIROS, Maxson Ramon dos Anjos; COSTA, Paula Dornhofer Paro; AZONI, Cíntia Alves Salgado. Analysis of softwares for emotion recognition in children and teenagers with autism spectrum disorder. Revista Cefac, [S.L.], v. 21, n. 1, p. 23, 2019. FapUNIFESP (SciELO). http://dx.doi.org/10.1590/1982-02162019/21112318. Disponível em: https://www.scielo.br/j/rcefac/a/pqLrBj4Ymj6c8fM4Jz45Qtm/?lang=en. Acesso em: 27 abr. 2023.https://repositorio.ufrn.br/handle/123456789/52324http://dx.doi.org/10.1590/1982-02162019/21112318Revista CefacAtribuição 3.0 Brasilhttp://creativecommons.org/licenses/by/3.0/br/info:eu-repo/semantics/openAccessautismemotionssoftwareAnalysis of softwares for emotion recognition in children and teenagers with autism spectrum disorderinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlePurpose: to investigate the use of softwares for emotion recognition in children and teenagers with Autism Spectrum Disorders (ASD). Methods: an integrative review of the literature with scientific papers published from 2012 to 2017 indexed in Periódico Capes, Science Direct, and PudMed; combined descriptors: autism AND emotion AND software; autism AND emotion recognition AND software. Inclusion criterion was the use of software related to emotion recognition in children and teenagers with ASD, up to 18 years old. Review papers and those using robots were excluded. Results: ten international papers were reviewed. The most used emotional expressions were “happiness”, “fear”, “anger”, “disgust”, “sadness”, and “surprise”. Ten software programs were described: Emotion Recognition Task (1), Cambridge Mindreading Face-Voice Battery for Children (3), Mind Reading (2), Mood Maker (1), Virtual-Reality Emotion Sensitivity Test (1), FaceSay (1), Penn Emotion Recognition (1), FaceMaze Game (1), Computer Emotion Recognition Toolbox (CERT) (1), and Emotiplay (1). Conclusion: studies with software programs focused on ASD intervention allow future research efforts in the diagnosis and intervention of this disorder.engreponame:Repositório Institucional da UFRNinstname:Universidade Federal do Rio Grande do Norte (UFRN)instacron:UFRNORIGINALAnalysisSoftwaresEmotion_Azoni_2019.pdfAnalysisSoftwaresEmotion_Azoni_2019.pdfapplication/pdf409169https://repositorio.ufrn.br/bitstream/123456789/52324/1/AnalysisSoftwaresEmotion_Azoni_2019.pdf854f04771ff5ec561590b03c2a036734MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8914https://repositorio.ufrn.br/bitstream/123456789/52324/2/license_rdf4d2950bda3d176f570a9f8b328dfbbefMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81484https://repositorio.ufrn.br/bitstream/123456789/52324/3/license.txte9597aa2854d128fd968be5edc8a28d9MD53123456789/523242023-05-11 19:43:41.617oai:https://repositorio.ufrn.br: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Repositório de PublicaçõesPUBhttp://repositorio.ufrn.br/oai/opendoar:2023-05-11T22:43:41Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN)false
dc.title.pt_BR.fl_str_mv Analysis of softwares for emotion recognition in children and teenagers with autism spectrum disorder
title Analysis of softwares for emotion recognition in children and teenagers with autism spectrum disorder
spellingShingle Analysis of softwares for emotion recognition in children and teenagers with autism spectrum disorder
Azoni, Cíntia Alves Salgado
autism
emotions
software
title_short Analysis of softwares for emotion recognition in children and teenagers with autism spectrum disorder
title_full Analysis of softwares for emotion recognition in children and teenagers with autism spectrum disorder
title_fullStr Analysis of softwares for emotion recognition in children and teenagers with autism spectrum disorder
title_full_unstemmed Analysis of softwares for emotion recognition in children and teenagers with autism spectrum disorder
title_sort Analysis of softwares for emotion recognition in children and teenagers with autism spectrum disorder
author Azoni, Cíntia Alves Salgado
author_facet Azoni, Cíntia Alves Salgado
Lima, Antonio Marcos Oliveira de
Medeiros, Maxson Ramon dos Anjos
Costa, Paula Dornhofer Paro
author_role author
author2 Lima, Antonio Marcos Oliveira de
Medeiros, Maxson Ramon dos Anjos
Costa, Paula Dornhofer Paro
author2_role author
author
author
dc.contributor.authorID.pt_BR.fl_str_mv https://orcid.org/0000-0003-2175-9676
dc.contributor.author.fl_str_mv Azoni, Cíntia Alves Salgado
Lima, Antonio Marcos Oliveira de
Medeiros, Maxson Ramon dos Anjos
Costa, Paula Dornhofer Paro
dc.subject.por.fl_str_mv autism
emotions
software
topic autism
emotions
software
description Purpose: to investigate the use of softwares for emotion recognition in children and teenagers with Autism Spectrum Disorders (ASD). Methods: an integrative review of the literature with scientific papers published from 2012 to 2017 indexed in Periódico Capes, Science Direct, and PudMed; combined descriptors: autism AND emotion AND software; autism AND emotion recognition AND software. Inclusion criterion was the use of software related to emotion recognition in children and teenagers with ASD, up to 18 years old. Review papers and those using robots were excluded. Results: ten international papers were reviewed. The most used emotional expressions were “happiness”, “fear”, “anger”, “disgust”, “sadness”, and “surprise”. Ten software programs were described: Emotion Recognition Task (1), Cambridge Mindreading Face-Voice Battery for Children (3), Mind Reading (2), Mood Maker (1), Virtual-Reality Emotion Sensitivity Test (1), FaceSay (1), Penn Emotion Recognition (1), FaceMaze Game (1), Computer Emotion Recognition Toolbox (CERT) (1), and Emotiplay (1). Conclusion: studies with software programs focused on ASD intervention allow future research efforts in the diagnosis and intervention of this disorder.
publishDate 2019
dc.date.issued.fl_str_mv 2019
dc.date.accessioned.fl_str_mv 2023-05-11T22:43:41Z
dc.date.available.fl_str_mv 2023-05-11T22:43:41Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.citation.fl_str_mv LIMA, Antonio Marcos Oliveira de; MEDEIROS, Maxson Ramon dos Anjos; COSTA, Paula Dornhofer Paro; AZONI, Cíntia Alves Salgado. Analysis of softwares for emotion recognition in children and teenagers with autism spectrum disorder. Revista Cefac, [S.L.], v. 21, n. 1, p. 23, 2019. FapUNIFESP (SciELO). http://dx.doi.org/10.1590/1982-02162019/21112318. Disponível em: https://www.scielo.br/j/rcefac/a/pqLrBj4Ymj6c8fM4Jz45Qtm/?lang=en. Acesso em: 27 abr. 2023.
dc.identifier.uri.fl_str_mv https://repositorio.ufrn.br/handle/123456789/52324
dc.identifier.doi.none.fl_str_mv http://dx.doi.org/10.1590/1982-02162019/21112318
identifier_str_mv LIMA, Antonio Marcos Oliveira de; MEDEIROS, Maxson Ramon dos Anjos; COSTA, Paula Dornhofer Paro; AZONI, Cíntia Alves Salgado. Analysis of softwares for emotion recognition in children and teenagers with autism spectrum disorder. Revista Cefac, [S.L.], v. 21, n. 1, p. 23, 2019. FapUNIFESP (SciELO). http://dx.doi.org/10.1590/1982-02162019/21112318. Disponível em: https://www.scielo.br/j/rcefac/a/pqLrBj4Ymj6c8fM4Jz45Qtm/?lang=en. Acesso em: 27 abr. 2023.
url https://repositorio.ufrn.br/handle/123456789/52324
http://dx.doi.org/10.1590/1982-02162019/21112318
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv Atribuição 3.0 Brasil
http://creativecommons.org/licenses/by/3.0/br/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Atribuição 3.0 Brasil
http://creativecommons.org/licenses/by/3.0/br/
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publisher.none.fl_str_mv Revista Cefac
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