Developing and comparing a new BMI inclusive energy expenditure algorithm on wrist-worn wearables
Nature Scientific Reports · 2025
BMI-inclusive energy expenditure estimation on wrist-worn sensors.
Boyang Wei
Data Science & Machine Learning researcher
PhD in Computer Science
- Chicago, IL, USA
- Northwestern University
- Google Scholar
- ORCID
- GitHub
Publications
Unveiling overeating patterns within digital longitudinal data on eating behaviors and contexts
npj Digital Medicine · 2025
Longitudinal ML pipeline reveals overeating patterns.
GULP-KG: Graphical Understanding of Lifestyle Patterns with Knowledge Graphs
AAAI · 2025
Knowledge-graph framework for lifestyle pattern mining.
HealthSense: Unobtrusive Continuous Stress Monitoring Using a Novel Dual ECG-PPG Patch
IEEE-EMBS Body Sensor Networks (BSN) · 2024
Dual-lead ECG-PPG patch for continuous stress sensing.
An End-to-End Energy-Efficient Approach for Intake Detection with Low Inference Time Using a Wrist-Worn Sensor
IEEE Journal of Biomedical and Health Informatics (JBHI) · 2023
Low-latency, energy-efficient intake detection on wrist IMU.
Experience: Barriers and Opportunities of Wearables for Eating Research
CHI · 2023
Opportunities and challenges of wearables for eating research.
Predicting the Next-Day Perceived and Physiological Stress of Pregnant Women Using Machine Learning and Explainability
JMIR mHealth and uHealth · 2022
Explainable ML for next-day stress prediction in pregnancy.
Analysis and Implementation of Multidimensional Data Visualization Methods in Large-Scale Power Internet of Things
International Conference on Broadband Communications, Networks and Systems (BroadNets) · 2019
RadViz-t implementation for large-scale data visualization.
Activity Recognition and Classification via Deep Neural Networks
TridentCom (International Conference on Testbeds and Research Infrastructures) · 2019
Deep neural networks for activity recognition.