Boyang's work, 'Resource-Constrained Eating Detection: Enabling Just-in-Time Interventions via Wrist-Worn Sensors' was awarded Live Research Spotlight at SBM 2025.
Farzad, Boyang, Jiayi, Chris, and Soroush will present works at the 2025 Meeting of the Society of Behavioral Medicine (SBM).
BSN24 organized by Conference Co-Chair Nabil & OC Co-Chairs Chris, Bonnie, Glenn, and Mahdi.
A machine-learned model for predicting weight loss success using weight change features early in treatment
Glenn will spend time in California as part of his internship with Dolby
Glenn's work, 'HabitSense: A Privacy-Aware, AI-Enhanced Multimodal Wearable Platform for mHealth Applications' now appears in ACM IMWUT.
Awarded Paper: Deep learning in human activity recognition with wearable sensors: A review on advances
Both awards were given to Farzad's work, 'Defining Overeating Phenotypes in Naturalistic Settings: Leveraging Mobile Health and Machine Learning'.
Chris' work, 'Clinicians as Design Partners in mHealth System Development' was included in a Live Research Spotlight session at SBM 2024.
Glenn, Boyang, Saki, Farzad, Chris, and Nabil will present works at the 2024 Meeting of the Society of Behavioral Medicine (SBM).
Human Sensing: Health & Behavior session of Ubicomp '23
Glenn Presents his Work on Mobile Health and Explainable AI
Patient-Focused AI System Seeks to Reduce Stress during Pregnancy
Mahdi will join Depaul's School of Computing as an Assistant Professor
An Explainable Artificial Intelligence Software Tool for Weight Management Experts (PRIMO): Mixed Methods Study
HABits Lab will work with Palbud to pursue SBIR Phase 2 funding
Is cartoonized life-vlogging the key to increasing adoption of activity-oriented wearable camera systems?
New 'necklace' could help cigarette smokers quit
Medical Watch: Data-tracking necklace helps smokers kick habit
Wearing this smart necklace could help you stop smoking forever
An End-to-end Energy-efficient Approach for Intake Detection With Low Inference Time Using Wrist-worn Sensor
Experience: Barriers and Opportunities of Wearables for Eating Research
Rawan successfully defended her dissertation earlier this year
SmokeMon: Unobtrusive Extraction of Smoking Topography Using Wearable Energy-Efficient Thermal
Shibo successfully defended his dissertation earlier this year
SmartAct: Energy Efficient and Real-Time Hand-to-Mouth Gesture Detection Using Wearable RGB-T
Predicting the Next-Day Perceived and Physiological Stress of Pregnant Women by Using Machine Learning and Explainability: Algorithm Development and Validation
EAT: A Reliable Eating Assessment Technology for Free-living Individuals.
WildCam: A Privacy Conscious Wearable Eating Detection Camera People will Actually Wear in the Wil
VibroScale: Turning your smartphone into a weighing scale
BehaviorSight: Privacy enhancing wearable system to detect health risk behaviors in real-time
NeckSense: A Multi-Sensor Necklace for Detecting Eating Activities in Free-Living Conditions
To Mask or Not to Mask? Balancing Privacy with Visual Confirmation Utility in Activity-Oriented Wearable Cameras
Micro-Stress EMA: A Passive Sensing Framework for Detecting in-the-wild Stress in Pregnant Mothers
EAGER: SaTC: Early-Stage Interdisciplinary Collaboration: Privacy Enhancing Framework to Advance Behavior Models
Is More Always Better?: Discovering Incentivized mHealth Intervention Engagement Related to Health Behavior
I Can't Be Myself: Effects ofWearable Cameras on the Capture of Authentic Behavior in the Wild
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