IMoveLab is a workflow for human motion tracking with inertial measurement units (IMUs).
See biplane_ref for the implementation associated with Experiment 1 presented in the paper; mocap_ref for Experiments 2 and 3.
The code was tested with Python 3.10.19 on Ubuntu 24.04 and MacOS. We recommend using conda to create a separate environment for running the code.
conda create --name imovelab python==3.10.19
conda activate imovelab
Run python -m pip install -r requirements.txt for dependencies.
See AHRS, VQF, and RIANN regarding packages for state-estimation filters.
See Scripting in Python regarding the opensim package for OpenSense biomechanical constrained inverse kinematics.
The dataset is available on FigShare.
See README.md in the biplane_ref or mocap_ref folder for how to store the data.
See README.md in the biplane_ref or mocap_ref folder for how to run the code.
IMoveLab is licensed under the Carnegie Mellon Software License.
Phan, V., Li, Z., Meinders, E., Gale, T., Anderst, W., Ng-Thow-Hing, J., Khandan, A., and Halilaj, E., "Biomechanics-Informed Inertial Tracking Achieves the Accuracy of Marker-based Kinematics," Nature Communications, https://doi.org/10.1038/s41467-026-75981-y (2026).
Please reach out to Vu Phan (vuphan@andrew.cmu.edu) or Eni Halilaj (ehalilaj@andrew.cmu.edu) for any questions regarding this work.