55 citations · 113 across the 18 of their papers we have counts for
6 papers · 1 filter
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…
Personalization of Stress Mobile Sensing using Self-Supervised Learning
Tanvir Islam, Peter Washington
Stress is widely recognized as a major contributor to a variety of health issues. Stress prediction using biosignal data recorded by wearables is a key area of study in mobile sens…
Self-Supervised Learning for Audio-Based Emotion Recognition
Peranut Nimitsurachat, Peter Washington
Emotion recognition models using audio input data can enable the development of interactive systems with applications in mental healthcare, marketing, gaming, and social media anal…
Personalized Prediction of Recurrent Stress Events Using Self-Supervised Learning on Multimodal Time-Series Data
Tanvir Islam, Peter Washington
Chronic stress can significantly affect physical and mental health. The advent of wearable technology allows for the tracking of physiological signals, potentially leading to innov…
Computer Vision Estimation of Emotion Reaction Intensity in the Wild
Yang Qian, Ali Kargarandehkordi, Onur Cezmi Mutlu +4
Emotions play an essential role in human communication. Developing computer vision models for automatic recognition of emotion expression can aid in a variety of domains, including…
A Perspective on Crowdsourcing and Human-in-the-Loop Workflows in Precision Health
Peter Washington
Modern machine learning approaches have led to performant diagnostic models for a variety of health conditions. Several machine learning approaches, such as decision trees and deep…