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The Technology Assisted Training and Therapy (AT3) group of LabLENI has published a new article entitled “Assessment of the Autism Spectrum Disorder Based on Machine Learning and Social Visual Attention: A Systematic Review” in the Journal of Autism and Developmental Disorders.
This paper wanted to present and discuss the current state of the art on machine learning algorithms used to differentiate children with autism from children with typical development, basing on their eye movements towards social stimuli. Impairments in social visual attention in autism are well-known and the current assessment of the disease might benefit from the inclusion of objective and more-ecological procedures.
Publication link: https://link.springer.com/article/10.1007/s10803-021-05106-5
Funded by the Generalitat Valenciana (Santiago Grisolia program, GRISOLIAP / 2019/137), Spanish Ministry of Economy, Industry, and Competitiveness funded project “Immersive Virtual Environment for the Evaluation and Training of Children with Autism Spectrum Disorder: T Room” (IDI-20170912) and Spanish Ministry of Science and Innovation funded project “T-EYE: Monitoring system for children with ASD based on artificial intelligence and physiological measures” (IDI-20201146).
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