Friedrich-Alexander-Universität Erlangen-Nürnberg - FAU
Published July 25, 2023 | Version v1
Dataset Open

3D kinematics and kinetics of change of direction motions reconstructed from virtual inertial sensor data through optimal control simulation

Creators

  • 1. Machine Learning and Data Analytics Lab, Department Artificial Intelligence in Biomedical Engineering (AIBE), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
  • 2. Institute of Applied Dynamics, Department of Mechanical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany

Description

This is the data belonging to the publication "Estimating 3D kinematics and kinetics from inertial sensor data through musculoskeletal movement simulations".

This study investigated the feasibility and accuracy of reconstructing, especially change of direction motions, with a 3D full-body musculoskeletal model by tracking virtual inertial sensor data in optimal control simulations. We used the recordings of 90 trials with optical motion capture to generate marker tracking simulations from which we computed virtual inertial sensor data. Using this data, we compared inertial tracking simulations and marker tracking simulations.

Please see the README and the publication for further details.

Files

Nitschke_et_al_3D_Inertial_Tracking_Simulation.zip

Files (31.6 MB)