Diagnosis and Intervention for Children With Autism Spectrum Disorder: A Survey
Zhiyong Wang, Jingjing Liu, Wanqi Zhang, Wei Nie, Honghai Liu
Abstract
In recent years, the prevalence of autism spectrum disorder (ASD) has been proliferating rapidly around the world. This article aims to provide a comprehensive survey of the diagnosis and intervention for autistic children. Two assessment frameworks are introduced first to provide theoretical support for autistic engineering technologies: 1) international classification of diagnosis (ICD) and 2) international classification of functionalities (ICF). Then, autistic diagnosis and intervention techniques are presented respectively with different modalities. Multimodal sensing strategies for autism assessment are summarized subsequently. Finally, this article is concluded with future directions and challenges. This article overviews state-of-the-art research in the field of autistic diagnosis and intervention theory and applications giving priority to ICF-based solutions.