Experience the future of digital physiotherapy: this interactive AI-based system analyzes human movement in real time using pose estimation and trajectory tracking. By extracting biomechanical parameters and comparing them to optimal motion templates, the system provides adaptive feedback to guide your movement execution. You receive immediate visual and angular cues on joint alignment and timing. Visitors can try exercises and experience how artificial intelligence dynamically adjusts the feedback strategy based on performance. Explore how digital health and machine learning can improve rehabilitation outcomes and empower users in their therapy journey. Learn how this research bridges physiotherapy and technology using real-time motion understanding, optimization, and feedback mechanisms.
Experimentdemonstration
17:00 – 00:00
Foyer
Informatik, Medizintechnik
29 FAU Tech, Verbundlabor mit Institutsbau Cauerstraße 6 91058 Erlangen