About the project

Over 1 million children under the age of 17 in the US are on the autism spectrum. These children often times fail to recognize basic facial emotions, which make social interactions 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.

Our team at Stanford is researching a solution. We 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. Our 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.

Meet some of our participants...

Autism glass in the press...


Autism glass in literature...


A transdisciplinary Stanford effort...

Dennis
Wall

Professor of Pediatrics,
Principal Investigator

Terry
Winograd

Professor Emeritus of Computer Science, co-PI

Carl
Feinstein

Professor Emeritus of Psychiatry, Founder of Autism Center, co-PI

Catalin
Voss

Project Founder

Nick
Haber

Project Co-Founder & Walter V. and Idun Berry Postdoctoral Fellow

Aaron
Kline

Mobile Guru

Haik
Kalantarian

Mobile Guru

Qandeel
Tariq

Machine Learning Guru

Peter
Washington

UI/UX Engineer

Jessey
Schwartz

Study Manager

Kaiti
Dunlap

Study Manager

Jack
Wolf

Mobile Developer

Jack
Kent

Web Developer

Nate
Stockham

Audio Researcher

Jennifer
Phillips

Clinical Associate Professor in Psychiatry and Behavioral Sciences


With support from...


Join our professional team...

Reach out! Send us your CV and tell us how you want to be involved. We are always looking for amazing people to work with and join our team.