most citedImproved Digital Therapy for Developmental Pediatrics Using Domain-Specific Artificial Intelligence: Machine Learning Study

14 citations · 25 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2021

Training Affective Computer Vision Models by Crowdsourcing Soft-Target Labels

Peter Washington, Onur Cezmi Mutlu, Emilie Leblanc +8

Emotion classifiers traditionally predict discrete emotions. However, emotion expressions are often subjective, thus requiring a method to handle subjective labels. We explore the…

cs.CV2020★ 14 cited

Improved Digital Therapy for Developmental Pediatrics Using Domain-Specific Artificial Intelligence: Machine Learning Study

Peter Washington, Haik Kalantarian, John Kent +16

Background: Automated emotion classification could aid those who struggle to recognize emotions, including children with developmental behavioral conditions such as autism. However…

cs.HC2020

A Wearable Social Interaction Aid for Children with Autism

Nick Haber, Catalin Voss, Jena Daniels +7

With most recent estimates giving an incidence rate of 1 in 68 children in the United States, the autism spectrum disorder (ASD) is a growing public health crisis. Many of these ch…

cs.HC2020★ 5 cited

Superpower Glass: Delivering Unobtrusive Real-time Social Cues in Wearable Systems

Catalin Voss, Peter Washington, Nick Haber +8

We have developed a system for automatic facial expression recognition, which runs on Google Glass and delivers real-time social cues to the wearer. We evaluate the system as a beh…

cs.HC2020★ 6 cited

Designing a Holistic At-Home Learning Aid for Autism

Catalin Voss, Nick Haber, Peter Washington +8

In recent years, much focus has been put on employing technology to make novel behavioural aids for those with autism. Most of these are digital adaptations of tools used in standa…