Smartphone App for Early Autism Detection Being Developed by UB Undergrad
From: ECN Magazine - 11/11/2016

A study co-authored by a University at Buffalo undergraduate and presented at
the IEEE Wireless Health conference at the National Institutes of Health last
month discussed the creation of an app for cell phones, tablets, or computers
that tracks eye movement to determine, in less than a minute, if a child is
showing signs of autism spectrum disorder.

The app tracks eye movements of a child looking at pictures of social scenes
- for example, those with multiple people. The eye movements of someone with
ASD are often different from those of a person without autism. In the study,
the app had an accuracy rating of 93.96 percent.

The study found that photos of social scenes evoke the most dramatic
differences in eye movement between children with and without ASD. The eye
tracking patterns of children with ASD looking at the photos are scattered,
versus a more focused pattern of children without ASD.

Read the entire article at:
https://www.ecnmag.com/news/2016/11/smartphone-app-early-autism-detection-being-developed-ub-undergrad
http://www.buffalo.edu/news/releases/2016/11/022.html

Links:
Kun Woo Cho
http://www.acsu.buffalo.edu/~kunwooch

Undergrads Develop Smartphone App for Early Autism Detection
http://www.laboratoryequipment.com/news/2016/11/undergrads-develop-smartphone-app-early-autism-detection