Edge-Based Serious Game for Home Rehabilitation
Published:
Co-developed an Arduino-Unity-based rehabilitation game integrating sensors for real-time motion recognition on resource-constrained edge devices.
Projects
Large-scale Health Monitoring and User Behavior Analysis
Published:
Collaborated with Menzis on the SamenGezond dataset—one of the world’s largest multimodal health monitoring datasets, spanning 10+ years with 100,000+ participants.
Multimodal Epileptic Seizure Detection System (SeizeIT2)
Published:
Participated in the EU multi-center clinical project SeizeIT2, with 11,640 hours of monitoring data from 125 epilepsy patients across four modalities.
Interpretable and Personalized Health Prediction System
Published:
Developed an end-to-end health prediction system using smartwatch data with an Adaptive Spatial-Temporal Interpretable framework for stress and sleep prediction.
Sports Injury Prediction and Prevention for Professional Athletes
Published:
Partnered with a Dutch professional sports club to build injury risk prediction models using machine learning and survival analysis.
Fall Detection Research By Egocentric Cameras
Published:
Designed and built the EGOFalls multimodal fall detection benchmark dataset from an egocentric perspective, now open-sourced and adopted by multiple international teams.