Technology-Assisted Emotion Recognition for Autism Spectrum Disorder (ASD) Children: A Systematic Literature Review

作者: Mohammad Ariff Rashidan , Shahrul Na’im Sidek , Hazlina Md. Yusof , Madihah Khalid , Ahmad Aidil Arafat Dzulkarnain

DOI: 10.1109/ACCESS.2021.3060753

关键词:

摘要: The information about affective states in individuals with autism spectrum disorder (ASD) is difficult to obtain as they usually suffer from deficits facial expression. Affective state conditions of ASD were associated impaired regulation speech, communication, and social skills leading towards poor socio-emotion interaction. It conceivable that the advance technology could offer a psychophysiological alternative modality, particularly useful persons who cannot verbally communicate their emotions such ASD. study focusing on investigation technology-assisted approach its relationship recognition. A systematic review was executed summarize relevant research involved implementation identify using Preferred Reporting Items for Systematic Reviews Meta-Analyses (PRISMA) approach. output online search process obtained six publication databases studies published up 31 July 2020 analyzed. Out 391 publications retrieved, 20 papers met inclusion exclusion criteria set prior. Data synthesized narratively despite methodological heterogeneity variations. In this review, some methods, systems, equipment models address all related issues concerned presented. As consequence, it can be assumed emotion recognition assisted by technology, evaluating classifying help improve efficacy therapy sessions between therapists This will serve concise reference providing general overviews current state-of-the-art area practitioners, well experienced researchers are searching new direction future works.

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