Related Experiment Video

Updated: Jul 8, 2025

Eye Tracking Young Children with Autism
09:03

Eye Tracking Young Children with Autism

Published on: March 27, 2012

45.6K

Computer-aided autism diagnosis using visual attention models and eye-tracking: replication and improvement proposal.

Felipe O Franco1,2, Jessica S Oliveira3, Joana Portolese4

  • 1Interunit PostGraduate Program on Bioinformatics, Institute of Mathematics and Statistics (IME), University of São Paulo (USP), 05508-090, São Paulo, SP, Brazil. franco@ime.usp.br.

BMC Medical Informatics and Decision Making
|December 15, 2023
PubMed
Summary

Visual Attention Models (VAMs) using eye-tracking signals show promise for Autism Spectrum Disorder (ASD) diagnosis. A new Random Forest algorithm significantly improved classification accuracy compared to previous methods, aiding ASD identification.

Keywords:
Autism spectrum disorderClassifierEye-trackingMachine learningReplicability

More Related Videos

Comparing Eye-tracking Data of Children with High-functioning ASD, Comorbid ADHD, and of a Control Watching Social Videos05:32

Comparing Eye-tracking Data of Children with High-functioning ASD, Comorbid ADHD, and of a Control Watching Social Videos

Published on: December 7, 2018

9.0K
Using the Visual World Paradigm to Study Sentence Comprehension in Mandarin-Speaking Children with Autism06:15

Using the Visual World Paradigm to Study Sentence Comprehension in Mandarin-Speaking Children with Autism

Published on: October 3, 2018

7.8K

Related Concept Videos