6 citations · 23 across the 7 of their papers we have counts for
3 papers · 1 filter
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…
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…
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…