WearLife Health Monitoring Platform
Published:
A cross-platform health monitoring application for the WearLife/SamenGezond project, featuring wearable integration, interactive dashboards, and an LLM-powered conversational agent.
Published:
A cross-platform health monitoring application for the WearLife/SamenGezond project, featuring wearable integration, interactive dashboards, and an LLM-powered conversational agent.
Published:
Co-developed an Arduino-Unity rehabilitation game for real-time motion recognition on edge devices, targeting post-stroke and musculoskeletal rehabilitation.
Published:
Lead researcher on the SamenGezond dataset—one of the world’s largest preventive health datasets, spanning 10+ years with 100,000+ participants.
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Algorithm developer in the EU multi-center SeizeIT2 project — the first-ever phase-4 clinical trial for wearable seizure monitoring, with 11,640 hours of data from 125 patients.
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Developed an end-to-end health prediction system using smartwatch data with an Adaptive Spatial-Temporal Interpretable framework for stress and sleep prediction.
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Machine learning-based injury prediction for competitive runners, using 7 years of training data from 74 athletes with ~600 injury events.
Published:
Designed and built the EGOFalls multimodal fall detection benchmark dataset from an egocentric perspective, now open-sourced and adopted by multiple international teams.