Technology-assisted emotion recognition for autism spectrum disorder (ASD) children: a systematic literature review

• Main Authors: Rashidan, Mohammad Ariff, Sidek, Shahrul Na'im, Md Yusof, Hazlina, Khalid, Madihah, Dzulkarnain, Ahmad Aidil Arafat, Ghazali, Aimi Shazwani, Mohd Zabidi, Sarah Afiqah, Abdul Alim Sidique, Faizanah
• Format: Article
• Language: English; English; English
• Published: IEEE 2021
• Subjects: T Technology (General)
• Online Access: http://irep.iium.edu.my/88620/1/88620_Technology-assisted%20emotion%20recognition%20for%20autism.pdf; http://irep.iium.edu.my/88620/2/88620_Technology-assisted%20emotion%20recognition%20for%20autism_WoS.pdf; http://irep.iium.edu.my/88620/3/88620_Technology-assisted%20emotion%20recognition%20for%20autism_SCOPUS.pdf; http://irep.iium.edu.my/88620/; https://ieeexplore.ieee.org/document/9359753
• Institution: Universiti Islam Antarabangsa Malaysia

The information about affective states in individuals with autism spectrum disorder (ASD) is difficult to obtain as they usually suffer from deficits in facial expression. Affective state conditions of individuals with ASD were associated with impaired regulation of speech, communication, and social...