A Review of Early Detection of Autism Based on Eye-Tracking and Sensing Technology
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9109402/9112371/09112493.pdf?arnumber=9112493
Cited by 17 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. AI-Powered Human-Computer Interaction Assisting Early Identification of Emotional and Facial Symptoms of Autism Spectrum Disorder in Children: “A Deep Learning-Based Enhanced Facial Feature Recognition System”;2024 International Conference on Machine Intelligence and Smart Innovation (ICMISI);2024-05-12
2. Feasibility of a 2-minute eye-tracking protocol to support the early identification of autism;Scientific Reports;2024-03-01
3. Using visual attention estimation on videos for automated prediction of autism spectrum disorder and symptom severity in preschool children;PLOS ONE;2024-02-12
4. ASDNet: A robust involution‐based architecture for diagnosis of autism spectrum disorder utilising eye‐tracking technology;IET Computer Vision;2024-02-12
5. Student Recognition and Activity Monitoring in E-Classes Using Deep Learning in Higher Education;IEEE Access;2024
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