Eye tracking-based diagnosis and early detection of autism spectrum disorder using machine learning and deep learning techniques
Eye tracking is a useful technique for detecting autism spectrum disorder (ASD). One of the most important aspects of good learning is the ability to have atypical visual attention. The eye-tracking technique provides useful information about children's visual behaviour for early and accurate d...
Saved in:
Main Authors: | Ahmed, Ibrahim Abdulrab, Senan, Ebrahim Mohammed, Rassem, Taha H., Hashem Ali, Mohammed Abdo, Shatnawi, Hamzeh Salameh Ahmad, Alwazer, Salwa Mutahar, Alshahrani, Mohammed |
---|---|
Format: | Article |
Published: |
MDPI
2022
|
Subjects: | |
Online Access: | http://eprints.um.edu.my/33377/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An effective learning application for autism spectrum disorder (AELA)
by: Nur Aqilah, Osman
Published: (2019) -
Autism Spectrum Disorder Classification Using Deep Learning
by: Abdulrazak Yahya, Saleh, et al.
Published: (2021) -
Augmented reality for learning of children and adolescents with autism spectrum disorder (ASD): A systematic review
by: Khowaja, Kamran, et al.
Published: (2020) -
Multi-method diagnosis of CT images for rapid detection of intracranial hemorrhages based on deep and hybrid learning
by: Mohammed, Badiea Abdulkarem, et al.
Published: (2022) -
Enhanced of autism spectrum disorder using grey relational analysis and supervised learning for classification
by: Mohd. Yunos, Z., et al.
Published: (2020)