Subproject C01

Subproject C01

Machine Learning for Personalization of Musculoskeletal Models, Movement Analysis, and Movement Predictions

The extent to which a neural network can be used to effectively personalize gait simulations using motion data is explored. In this subproject, we first investigate the influence of body parameters on gait simulation. An initial version of the personalization is trained with simulated motion data, since ground truth data is known for this purpose. We then explore gradient-free methods to fit the network for experimental motion data. The resulting network is validated with magnetic resonance imaging, electromyography, and intra-body variables.

The optimal movement of a person is measured through different criteria like cost of transport, muscular effort, impact, head stabilization, and others. Inverse Optimal Control (IOC) is used to best recreate specific motions by combining weighted criteria. To explore human walking criteria like the influence of environmental and personal conditions we are developing a fast IOC pipeline for real-world data and predicting new gaits from weighted criteria

Contacts

Prof. Dr. Anne Koelewijn

Principal Investigator

Markus Gambietz, M. Sc.

Doctoral Candidate

Jonas Müller, M. Sc.

Associate Doctoral Candidate

 

 

Additional Information

  • Gambietz M., Dröge A., Schüßler C., Stahlke M., Wirth V., Miehling J., Koelewijn A.:
    Unobtrusive Gait Reconstructions using Radar-based Optimal Control Simulations
    Asilomar Conference on Signals, Systems, and Computers (2024)
  • Krauß D., Engel L., Ott T., Bräunig J., Richer R., Gambietz M., Albrecht N., Hille EM., Ullmann I., Braun M., Dabrock P., Kölpin A., Koelewijn A., Eskofier B., Vossiek M.:
    A Review and Tutorial on Machine Learning- Enabled Radar-Based Biomedical Monitoring
    In: IEEE Open Journal of Engineering in Medicine and Biology (2024), S. 1-22. ISSN: 2644-1276. DOI: 10.1109/OJEMB.2024.3397208
  • Miehling J., Choisne J., Koelewijn A.:
    Editorial: Human digital twins for medical and product engineering
    In: Frontiers in Bioengineering and Biotechnology 12 (2024). ISSN: 2296-4185. DOI: 10.3389/fbioe.2024.1489975
  • Nitschke M., Dorschky E., Leyendecker S., Eskofier B., Koelewijn A.:
    Estimating 3D kinematics and kinetics from virtual inertial sensor data through musculoskeletal movement simulations
    In: Frontiers in Bioengineering and Biotechnology 12 (2024). ISSN: 2296-4185. DOI: 10.3389/fbioe.2024.1285845
  • Schlechtweg N., Brückner S., Gambietz M., Koelewijn A., Vossiek M.:
    Time-Synchronized Joint Communication and Precise Wireless Localization of Multiple On-Body Sensor Nodes for Human Gait and Movement Measurement
    Asilomar Conference on Signals, Systems, and Computers (2024)
  • Shanbhag J., Fleischmann S., Wechsler I., Gaßner H., Winkler J., Eskofier B., Koelewijn A., Wartzack S., Miehling J.:
    A sensorimotor enhanced neuromusculoskeletal model for simulating postural control of upright standing
    In: Frontiers in Neuroscience 18 (2024). ISSN: 1662-4548. DOI: 10.3389/fnins.2024.1393749
  • Wechsler I., Wartzack S., Koelewijn A., Miehling J.:
    IMU-based direct analytical joint center identification method for OpenSim – A proof of concept
    29th Congress of the European Society of Biomechanics (Edinburgh, Scotland, 2024)
  • Dorschky E., Camomilla V., Davis J., Federolf P., Reenalda J., Koelewijn A.:
    Perspective on “in the wild” movement analysis using machine learning
    Human Movement Science (2023)
  • Fleischmann S., Shanbhag J., Miehling J., Wartzack S., Leyendecker S., Koelewijn A., Eskofier B.:
    Time vs. Space: Comparing gait cycle normalization methods and their effect on foot placement control
    28th Congress of the European Society of Biomechanics (Maastricht, 9 Juli 2023 – 12 Juli 2023)
  • Gambietz M., Nitschke M., Miehling J., Koelewijn A.:
    Contributing components of metabolic energy models to metabolic cost estimations in gait
    IEEE Transactions on Biomedical Engineering (2023)
  • Nitschke M., Marzilger R., Leyendecker S., Eskofier B., Koelewijn A.:
    Change the direction: 3D optimal control simulation by directly tracking marker and ground reaction force data
    PeerJ (2023)
  • Shanbhag J., Fleischmann S., Eskofier B., Koelewijn A., Wartzack S., Miehling J.:
    Towards postural control simulation using a sensorimotor enhanced musculoskeletal human model
    ISPGR World Congress 2023 (Brisbane, 9 Juli 2023 – 13 Juli 2023)
  • Shanbhag J., Wolf A., Wechsler I., Fleischmann S., Winkler J., Leyendecker S., Eskofier B., Koelewijn A., Wartzack S., Miehling J.:
    Methods for integrating postural control into biomechanical human simulations: A systematic review
    Journal of NeuroEngineering and Rehabilitation (2023)
  • Wechsler I., Koelewijn A., Wartzack S., Miehling J.:
    Towards individualized biomechanical models in multiple domains
    28th Congress of the European Society of Biomechanics (Maastricht, 9 Juli 2023 – 12 Juli 2023)
  • Fleischmann S., Nitschke M., Marzilger R., Koelewijn A.:
    Can we combine data sets? Feature extraction and clustering motion capture data
    17th International Symposium of 3-D Analysis of Human Movement (3D-AHM) (Tokyo, Japan, 16 Juli 2022 – 19 Juli 2022)
  • Gambietz M., Nitschke M., Miehling J., Koelewijn A.:
    What should a metabolic energy model look like? Sensitivity of metabolic energy model parameters during gait
    9th World Congress of Biomechanics 2022 Taipei (Taipei, 10 Juli 2022 – 14 Juli 2022)
  • Koelewijn A., Selinger J.:
    Predictive Simulations of Gait with Exoskeletons that Alter Energetics IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022)
  • Nitschke M., Marzilger R., Koelewijn A.:
    3D full-body optimal control simulations with change of direction directly driven by motion capture data
    17th International Symposium of 3-D Analysis of Human Movement (3D-AHM) (Tokyo, Japan, 16 Juli 2022 – 19 Juli 2022)
    URL: https://www.youtube.com/watch?v=3ZFwDhZqZPU
  • Nitschke M., Marzilger R., Leyendecker S., Eskofier B., Koelewijn A.:
    Optical motion capturing of change of direction motions reconstructed with inverse kinematics and dynamics and optimal control simulation
    (2022)
    DOI: 10.5281/zenodo.6949012. Dataset
  • Nitschke M., Mayer M., Dorschky E., Koelewijn A.:
    How many sensors are enough? Trajectory optimization using sparse inertial sensor sets
    9th World Congress of Biomechanics 2022 Taipei (Taipei, 10 Juli 2022 – 14 Juli 2022). URL: https://www.youtube.com/watch?v=TznVCgK4DF0