Research
Our research in the domain of substance use disorder and mental illness using mobile sensing
MoodPupilar: Predicting Mood Through Smartphone Detected Pupillary Responses in Naturalistic Settings
Rahul Islam, Tongze Zhang, Priyanshu Singh Bisen, Sang Won Bae
IEEE-EMBS International Conference on Wearable and Implantable Body Sensor Networks (BSN 2024)
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
Proceedings of the ACM on Human-Computer Interaction (MobileHCI '24)
PupilSense: Detection of Depressive Episodes Through Pupillary Response in the Wild
Rahul Islam, Sang Won Bae
International Conference on Activity and Behavior Computing 2024
Leveraging Mobile Phone Sensors, Machine Learning, and Explainable Artificial Intelligence to Predict Imminent Same-Day Binge-drinking Events to Support Just-in-time Adaptive Interventions: Algorithm Development and Validation Study
Sang Won Bae, Brian Suffoletto, Tongze Zhang, Tammy Chung, Melik Ozolcer, Rahul Islam, Anind K Dey
JMIR Formative Research 2023
Mobile phone sensor-based detection of subjective cannabis intoxication in young adults: A feasibility study in real-world settings
Sang Won Bae, Tammy Chung, Rahul Islam, Brian Suffoletto, Jiameng Du, Serim Jang, Yuuki Nishiyama, Raghu Mulukutla, Anind K Dey
Drug and Alcohol Dependence 2021
Towards Automated, Interpretable and Unobtrusive Detection of Acute Marijuana Intoxication in the Natural Environment: Harnessing Smartphones, Wearables, Machine Learning and Explainable AI to Empower Clinical Decision Support for Just-In-Time Adaptive Interventions
Sang Won Bae, Tammy Chung, Tongze Zhang, Melik Ozolcer, Anind K Dey, Rahul Islam
JMIR AI 2023