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

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dc.contributor.authorAzoni, Cíntia Alves Salgado
dc.contributor.authorLima, Antonio Marcos Oliveira de
dc.contributor.authorMedeiros, Maxson Ramon dos Anjos
dc.contributor.authorCosta, Paula Dornhofer Paro
dc.contributor.authorIDhttps://orcid.org/0000-0003-2175-9676pt_BR
dc.date.accessioned2023-05-11T22:43:41Z
dc.date.available2023-05-11T22:43:41Z
dc.date.issued2019
dc.description.resumoPurpose: 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.pt_BR
dc.identifier.citationLIMA, 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.pt_BR
dc.identifier.doihttp://dx.doi.org/10.1590/1982-02162019/21112318
dc.identifier.urihttps://repositorio.ufrn.br/handle/123456789/52324
dc.languageenpt_BR
dc.publisherRevista Cefacpt_BR
dc.rightsAtribuição 3.0 Brasil*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/br/*
dc.subjectautismpt_BR
dc.subjectemotionspt_BR
dc.subjectsoftwarept_BR
dc.titleAnalysis of softwares for emotion recognition in children and teenagers with autism spectrum disorderpt_BR
dc.typearticlept_BR

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