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.
We are currently refining our mobile, at-home therapeutic aid and we are looking for families to test it out!
We ask families to come to Stanford for one in-person appointment to test out our new games and features. Families will try the study device (a pair of Google Glasses, an Android phone, and the study app) during the appointment for up to two hours, as well as a few other games that we are developing.
If your family does not meet these requirements, please feel free to reach out to us expressing your interest. We are always looking for families for future research projects, including a remote launch of this project, so please don’t hesitate to reach out!
Professor of Pediatrics,
Principal Investigator
Professor Emeritus of Computer Science, co-PI
Professor Emeritus of Psychiatry, Founder of Autism Center, co-PI
Project Founder
Project Co-Founder & Walter V. and Idun Berry Postdoctoral Fellow
Mobile Guru
Machine Learning Guru
Machine Learning Guru
Machine Learning Guru
UI/UX Engineer
Study Manager
Study Manager
Study Manager
Audio Researcher
Research Collaborator
Clinical Associate Professor in Psychiatry and Behavioral Sciences