Visualization of the test setup, where a crane lifts the dummy to simulate a fall near a bed equipped with sensors for data measurement.

AI-Driven Fall Detection System Developed by Prof. Dr. Bartz-Beielstein and his Team Achieves 98% Accuracy in TH Köln Study

The project „FallKI – Development of Sensor Technology and AI Algorithms for Fall Detection in the Vicinity of Nursing Beds“ was conducted by Prof. Dr. Axel Wellendorf from the Institute for General Mechanical Engineering at TH Köln, in collaboration with Prof. Dr. Thomas Bartz-Beielstein from the Institute for Data Science, Engineering and Analytics. The project partner was tecfor care GmbH, a manufacturer of nursing beds and care furniture. The project was funded by the Federal Ministry for Economic Affairs and Climate Action through the Central Innovation Program for SMEs (ZIM) with a grant of 670,000 euros.