Machine Learning and Radar Sensors for Monitoring Patients and Elderly People in Healthcare

01 February 2023 → 30 September 2023
Regional and community funding: Special Research Fund
Research disciplines
  • Natural sciences
    • Computer vision
  • Engineering and technology
    • Pattern recognition and neural networks
Compact radar sensors Healthcare Activity Detection Machine Learning
Project description

Artificial Intelligence and Machine Learning are becoming very common in many different

sectors. The goal of this research is to use radar sensors and machine learning techniques in

healthcare to monitor and detect the occurrence of critical life changing events of patients and elderly

people, i.e., patient activity recognition, detecting anomalies, etc. The overall research involves several

data collection campaigns of real hospital patients and elderly people for different activities using

compact radar sensors, radar data processing and developing machine learning techniques of

increasing complexity and abilities for predictive modeling and automated decision making systems.