EyeXplain Autism: Interactive System for Eye Tracking Data Analysis and Deep Neural Network Interpretation for Autism Spectrum Disorder Diagnosis

Author:

de Belen Ryan Anthony Jalova1,Bednarz Tomasz1,Sowmya Arcot2

Affiliation:

1. Expanded Perception and Interaction Centre University of New South Wales, Australia

2. School of Computer Science and Eng University of New South Wales, Australia

Publisher

ACM

Reference37 articles.

1. Gaze-based Screening of Autistic Traits for Adolescents and Young Adults using Prosaic Videos

2. Tanja Blascheck Kuno Kurzhals Michael Raschke Michael Burch Daniel Weiskopf and Thomas Ertl. 2014. State-of-the-Art of Visualization for Eye Tracking Data.. In EuroVis (STARs). Tanja Blascheck Kuno Kurzhals Michael Raschke Michael Burch Daniel Weiskopf and Thomas Ertl. 2014. State-of-the-Art of Visualization for Eye Tracking Data.. In EuroVis (STARs).

3. Attention-Based Autism Spectrum Disorder Screening With Privileged Modality

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1. Analyzing lower body movements using machine learning to classify autistic children;Biomedical Signal Processing and Control;2024-08

2. Early Autism Screening in Children Using Facial Recognition;Extended Abstracts of the CHI Conference on Human Factors in Computing Systems;2024-05-11

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. Deep learning with image-based autism spectrum disorder analysis: A systematic review;Engineering Applications of Artificial Intelligence;2024-01

5. Machine Learning Model to Predict Autism Spectrum Disorder Using Eye Gaze Tracking;2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2023-12-05

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