activity
20202024
most citedDesigning a Holistic At-Home Learning Aid for Autism

6 citations · 32 across the 12 of their papers we have counts for

collaborators
Showing cs.CVShow all

5 papers · 1 filter

cs.CV2024

Ensemble Modeling of Multiple Physical Indicators to Dynamically Phenotype Autism Spectrum Disorder

Marie Huynh, Aaron Kline, Saimourya Surabhi +6

Early detection of autism, a neurodevelopmental disorder marked by social communication challenges, is crucial for timely intervention. Recent advancements have utilized naturalist…

cs.CV20233 cited

Addressing Racial Bias in Facial Emotion Recognition

Alex Fan, Xingshuo Xiao, Peter Washington

Fairness in deep learning models trained with high-dimensional inputs and subjective labels remains a complex and understudied area. Facial emotion recognition, a domain where data…

cs.CV20226 cited

Challenges and Opportunities for Machine Learning Classification of Behavior and Mental State from Images

Peter Washington, Cezmi Onur Mutlu, Aaron Kline +7

Computer Vision (CV) classifiers which distinguish and detect nonverbal social human behavior and mental state can aid digital diagnostics and therapeutics for psychiatry and the b…

cs.CV2021

Activity Recognition with Moving Cameras and Few Training Examples: Applications for Detection of Autism-Related Headbanging

Peter Washington, Aaron Kline, Onur Cezmi Mutlu +6

Activity recognition computer vision algorithms can be used to detect the presence of autism-related behaviors, including what are termed "restricted and repetitive behaviors", or…

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…