4 citations · 7 across the 8 of their papers we have counts for
8 papers
Predicting Volleyball Season Performance Using Pre-Season Wearable Data and Machine Learning
Melik Ozolcer, Tongze Zhang, Sang Won Bae
Predicting performance outcomes has the potential to transform training approaches, inform coaching strategies, and deepen our understanding of the factors that contribute to athle…
AXAI-CDSS : An Affective Explainable AI-Driven Clinical Decision Support System for Cannabis Use
Tongze Zhang, Tammy Chung, Anind Dey +1
As cannabis use has increased in recent years, researchers have come to rely on sophisticated machine learning models to predict cannabis use behavior and its impact on health. How…
MoodCam: Mood Prediction Through Smartphone-Based Facial Affect Analysis in Real-World Settings
Rahul Islam, Tongze Zhang, Sang Won Bae
MoodCam introduces a novel method for assessing mood by utilizing facial affect analysis through the front-facing camera of smartphones during everyday activities. We collected fac…
MoodPupilar: Predicting Mood Through Smartphone Detected Pupillary Responses in Naturalistic Settings
Rahul Islam, Tongze Zhang, Priyanshu Singh Bisen +1
MoodPupilar introduces a novel method for mood evaluation using pupillary response captured by a smartphone's front-facing camera during daily use. Over a four-week period, data wa…
FacePsy: An Open-Source Affective Mobile Sensing System -- Analyzing Facial Behavior and Head Gesture for Depression Detection in Naturalistic Settings
Rahul Islam, Sang Won Bae
Depression, a prevalent and complex mental health issue affecting millions worldwide, presents significant challenges for detection and monitoring. While facial expressions have sh…
Revolutionizing Mental Health Support: An Innovative Affective Mobile Framework for Dynamic, Proactive, and Context-Adaptive Conversational Agents
Rahul Islam, Sang Won Bae
As we build towards developing interactive systems that can recognize human emotional states and respond to individual needs more intuitively and empathetically in more personalize…
Exploring Algorithmic Explainability: Generating Explainable AI Insights for Personalized Clinical Decision Support Focused on Cannabis Intoxication in Young Adults
Tongze Zhang, Tammy Chung, Anind Dey +1
This study explores the possibility of facilitating algorithmic decision-making by combining interpretable artificial intelligence (XAI) techniques with sensor data, with the aim o…
PupilSense: Detection of Depressive Episodes Through Pupillary Response in the Wild
Rahul Islam, Sang Won Bae
Early detection of depressive episodes is crucial in managing mental health disorders such as Major Depressive Disorder (MDD) and Bipolar Disorder. However, existing methods often…