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Autism Artificial Intelligence

Oct 19, 2017 2017-10-19

STEM • STEAM • STREAM

SPOTLIGHT! On a Wearable Behavioral Aid

More than 1 million children under the age of 17 in the US are on the autism spectrum. These children often fail to recognize basic facial emotions, which make interacting socially and developing friendships even more difficult to sustain. Gaining these skills requires intensive behavioral interventions that are often expensive, difficult to access, and inconsistently administered.

A team at Stanford University is researching a solution. They have developed a system using machine learning and artificial intelligence to automate facial-expression recognition that runs on wearable glasses and delivers real-time social cues.

This novel system uses the outward-facing camera on the glasses to read facial expressions and provides social cues within the child’s natural environment. It also records the amount and type of eye contact, which adds an additional layer for behavioral intervention. Find out more about the Autism Glass Project here.

Autism Educational Technology

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