Developing an eye-tracking algorithm as a potential tool for early diagnosis of autism spectrum disorder in children.

Natalia I Vargas-CuentasAvid Roman-GonzalezRobert H GilmanFranklin BarrientosJames TingDaniela HidalgoKelly JensenMirko Zimic

Published in: PloS one (2017)

This tablet-based gaze preference/eye-tracking algorithm can estimate gaze preference in both children with ASD and without ASD to a high degree of accuracy, without the need for calibration, training, or restraint of the children. This system can be utilized in low-resource settings as a portable and cost-effective potential screening tool for ASD.

Keyphrases

autism spectrum disorder
attention deficit hyperactivity disorder
young adults
intellectual disability
machine learning
deep learning
risk assessment
human health
working memory
virtual reality