Subproject B04

Subproject B04

Visualization of Motion Sequences Based on a Biomechanical Model

Subproject B04 is a significant component of EmpkinS research, with a primary focus on improving the visualization of recorded movement sequences obtained from empathokinesthetic sensors or biomechanical simulations. Its goal is to enhance medical interpretation and diagnosis by developing methods to make complex motion data more understandable and clinically valuable.

At its core, this subproject aims to create visualization techniques that improve the comprehensibility of movement sequences and help extract meaningful information for medical professionals. Various empathokinesthetic sensors and biomechanical simulations bridge the gap between raw data and clinical insights. The research in

B04 has the potential to enhance the medical community’s ability to interpret and diagnose conditions related to human motion, contributing to data-driven healthcare advancements.

 

Contacts

Prof. Dr.-Ing. Marc Stamminger

Principal Investigator

Prof. Dr. med. Jürgen Winkler

Principal Investigator

 

Daniel Zieger, M. Sc.

Doctoral Canidate

Jann-Ole Henningson, M. Sc.

Associated Doctoral Candidate

Prof. Dr. Bernhard Egger

Associated Member

PD Dr. Heiko Gaßner

Associated Member

Prof. Dr. Jochen Klucken

Associated Member

 

Additional Information

  • Nguyen DT., Zieger D., Gambietz M., Koelewijn A., Stamminger M., Kaup A.:
    Multiresolution point cloud compression for real-time visualization and streaming of large 3D datasets.
    Asilomar Conferense on Signals, Systems, and Computers (2024)
  • Zieger D., Güthlein F., Henningson JO., Jakob V., Gaßner H., Shanbhag J., Fleischmann S., Miehling J., Wartzack S., Eskofier B., Winkler J., Egger B., Stamminger M.:
    3D Body Twin: Improving Human Gait Visualizations Using Personalized Avatars.
    Shape in Medical Imaging (Marrakesh, 6 Oktober 2024 – 6 Oktober 2024). DOI: 10.1007/978-3-031-75291-9_6
  • Brückner S., Weber J., Michler F., Shanin N., Schober R., Hagelauer A., Weigel R., Gaßner H., Winkler J., Eskofier B., Vossiek M.:
    A Wireless Joint Communication and Localization EMG-Sensing Concept for Movement Disorder Assessment.
    IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology (2023), S. 1-10. ISSN: 2469-7249. DOI: 10.1109/JERM.2023.3321974
  • Henningson JO., Semmler M., Döllinger M., Stamminger M.:
    Joint Segmentation and Sub-pixel Localization in Structured Light Laryngoscopy.
    26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). DOI: 10.1007/978-3-031-43987-2_4
  • Wirth V., Liphardt AM., Coppers B., Bräunig J., Heinrich S., Leyendecker S., Kleyer A., Schett G., Vossiek M., Egger B., Stamminger M.:
    ShaRPy: Shape Reconstruction and Hand Pose Estimation from RGB-D with Uncertainty.
    Proceedings of the IEEE/CVF International Conference on Computer Vision (Paris, 2023)