Bend Your Knee! Real-time Musculoskeletal Analysis of Motion Data in Rehabilitation

09.03.2025, Diplomarbeiten, Bachelor- und Masterarbeiten

The Human-Centered Computing and Extended Reality Lab of the Professorship for Machine Intelligence in Orthopedics seeks applicants for Bachelor/Master Thesis for the Summer Semester 2025.

Virtual reality-assisted rehabilitation can empower medical practitioners and patients to utilize personalized real-time analyses to optimize and accelerate treatment. Existing research shows promising results but primarily relies on approximate solutions or generic anatomical models and does not provide an extensible real-time biomechanical feedback system. This thesis builds on top of a preliminary prototype to develop a system for biomechanically-assisted knee rehabilitation, utilizing motion capture data from Unity and biomechanical calculations from OpenSim. The result should provide muscle force and joint angle calculations as feedback in the form of an intuitive interactive visualization.

Please send your transcript of records, CV and motivation to: Julian Kreimeier (julian.kreimeier@tum.de) with CC to hex-thesis.ortho@mh.tum.de

Literature
Schneider, D., Reiß, S., Kugler, M., Jaus, A., Peng, K., Sutschet, S., ... & Stiefelhagen, R. (2025). Muscles in Time: Learning to Understand Human Motion In-Depth by Simulating Muscle Activations. Advances in Neural Information Processing Systems, 37, 67251-67281.
Pereira, M. F., Prahm, C., Kolbenschlag, J., Oliveira, E., & Rodrigues, N. F. (2020). Application of AR and VR in hand rehabilitation: A systematic review. Journal of biomedical informatics, 111, 103584.
Pizzolato, C., Reggiani, M., Modenese, L., & Lloyd, D. G. (2017). Real-time inverse kinematics and inverse dynamics for lower limb applications using OpenSim. Computer methods in biomechanics and biomedical engineering, 20(4), 436-445.

Kontakt: hex-thesis.ortho@mh.tum.de, julian.kreimeier@tum.de