A review of studies on visual behavior analysis aided diagnosis of autism spectrum disorders.
10.7507/1001-5515.202204038
- Author:
Xiang LI
1
;
Xin MA
1
;
Yibin LI
1
Author Information
1. School of Control Science and Engineering, Shandong University, Jinan 250061, P. R. China.
- Publication Type:Journal Article
- Keywords:
Autism spectrum disorder;
Diagnosis;
Interactive scene;
Video dataset;
Visual behavior analysis
- MeSH:
Humans;
Autism Spectrum Disorder/diagnosis*;
Vision, Ocular;
Behavior
- From:
Journal of Biomedical Engineering
2023;40(4):812-819
- CountryChina
- Language:Chinese
-
Abstract:
Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by deficits in social communication and repetitive behaviors. With the rapid development of computer vision, visual behavior analysis aided diagnosis of ASD has got more and more attention. This paper reviews the research on visual behavior analysis aided diagnosis of ASD. First, the core symptoms and clinical diagnostic criteria of ASD are introduced briefly. Secondly, according to clinical diagnostic criteria, the interaction scenes are classified and introduced. Then, the existing relevant datasets are discussed. Finally, we analyze and compare the advantages and disadvantages of visual behavior analysis aided diagnosis methods for ASD in different interactive scenarios. The challenges in this research field are summarized and the prospects of related research are presented to promote the clinical application of visual behavior analysis in ASD diagnosis.
