Health-related activities identification system based on the IoTs and data fusion

A major collaborative key cooperation project funded jointly by China MOST and the European Commission. The initiative was designed to establish scalable technical architectures that process multi-source sensor inputs to accurately recognize and standardize health-related kinetic activities.

Provided strategic direction and technical design for advanced Multimodal IoT-Data Fusion frameworks. The project delivered a unified methodology for health activity data exchange, successfully strengthening intergovernmental scientific cooperation and digital health interoperability between European and Chinese teams.

This major international project was backed by the European Commission and China to create a shared digital language for tracking health data. By combining multiple types of wearable and smart home sensors with advanced data processing, the system securely identifies daily physical activities, helping medical systems in both regions coordinate health tracking more effectively.