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- W2914468753 abstract "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." @default.
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- W2914468753 date "2019-01-01" @default.
- W2914468753 modified "2023-10-15" @default.
- W2914468753 title "Analysis of softwares for emotion recognition in children and teenagers with autism spectrum disorder" @default.
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- W2914468753 doi "https://doi.org/10.1590/1982-02162019/21112318" @default.
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