Recognising critical situations in elderly people at risk of falling
Prof. Dr. med. Tania Zieschang (Medicine, Geriatrics, Health Sciences)
Prof. Dr. Dr. Birger Kollmeier (Physics, Medicine)
This project aims to prevent falls in the elderly by using hearables with IMU sensors to detect individual gait disorders and instabilities, as well as environmental factors that contribute to gait issues. It will develop algorithms to identify risky situations and provide automated feedback and interventions to stabilize gait and reduce fall risk.