55 citations · 101 across the 15 of their papers we have counts for
5 papers · 1 filter
Training and Profiling a Pediatric Emotion Recognition Classifier on Mobile Devices
Agnik Banerjee, Peter Washington, Cezmi Mutlu +2
Implementing automated emotion recognition on mobile devices could provide an accessible diagnostic and therapeutic tool for those who struggle to recognize emotion, including chil…
Classification of Abnormal Hand Movement for Aiding in Autism Detection: Machine Learning Study
Anish Lakkapragada, Aaron Kline, Onur Cezmi Mutlu +5
A formal autism diagnosis can be an inefficient and lengthy process. Families may wait months or longer before receiving a diagnosis for their child despite evidence that earlier i…
Scalable Hypergraph Embedding System
Sepideh Maleki, Donya Saless, Dennis P. Wall +1
Many problems such as node classification and link prediction in network data can be solved using graph embeddings. However, it is difficult to use graphs to capture non-binary rel…
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…