openofm 1.1.0

Python implementation of the Oxford Foot Model (OFM) gait analysis pipeline

openOFM

Code repository for the openOFM project. See the manuscript below for full mathematical details and further instructions:

Dixon, P. C., Drew, E. E., McBride, S. P., Harrington, M., Stebbins, J., & Zavatsky, A. B. (2025). OpenOFM: an open-source implementation of the multi-segment Oxford Foot Model. Computer Methods in Biomechanics and Biomedical Engineering, 1-14. https://doi.org/10.1080/10255842.2024.2448558

Running in Python

Environment setup

Python users must set up an appropriate environment to run openOFM. The following steps assume the user has installed the Anaconda or Mini- conda python distribution and has launched a terminal (Mac OS/Linux) or command prompt (PC). Similar commands can be run via Python IDEs.

1. Create environment: conda create --name openOFM python=3.14 -y
2. Activate environment: conda activate openOFM
3. Change directory to python subdirectory of the openOFM repository: cd ...\openOFM\python
4. Install packages: conda install --y --file requirements.txt
5. If the ezc3d package does not install, add conda-forge to channels before trying step 4 again: conda config --add channels conda-forge

Running the openOFM Python scripts

Users may run the Python scripts using two main approaches. First, users may run the openOFM_static.py and openOFM_dynamic.py files directly (also used by Nexus). Running these files without any arguments will default to processing the data within the Data_Sample folder for version 1.0. Users may append additional flags to modify settings. For example, the following command allows users to process a static trial using version 1.1 and the subject parameters defined in a settings.yml file: python openOFM_static.py --version 1.1 --use_settings

When processing data through the openOFM static or openOFM dynamic pipelines, the following arguments can be used:

1. version can be set to “1.0” or “1.1”.
2. data_dir is the name of subject folder relative to the root
3. file_name is the name of the .c3d to process
4. use_settings controls whether to use the subject parameters and processing settings from a .c3d file or a settings.yml file defined by the user
5. make_plot (openOFM_dynamic.py only). Allows users to generate a plot of results.

Options can be reviewed via the command: python openOFM_static.py --h and python openOFM_dynamic.py --h

Second, users may run the openOFM_sample_process.py. This approach may be more appropriate for users/developers wishing to integrate openOFM into their analysis or modify computations.

Validating the openOFM code

An additional openOFM_validate.py script compares openOFM python (version 1.0) and Vicon implementations using the sample data provided. Running this script will display OFM kinematics for both implementations.

Running in Matlab

Although officially unsupported, the openOFM is available for use in Matlab. The following steps assume Matlab is installed with a valid lincense:

1. Download the openOFM repository to a location of your choice
2. Change the working directory to the Matlab subfolder of the repository
3. Add the Matlab folder and its subfolders to the Matlab path
4. Run the openOFM process.m or openOFM_validate.m script

openOFM process.m

1. Set the desired version ’1.0’ or ’1.1’ on line 8
2. If anthropometric measures are missing from the .c3d files, set set- tings.manualAnthro (line 9) to True, and add the measure to section 2.2 (line 30)
3. Select subject folder when prompted, for example MA 00 in folder Data Sample

Note, the openOFM_process.m should be modified for use with a user’s own data as it defaults to running version 1.1 on the Data_Sample participant with placeholder values in the settings.

Installing a dev environment

• conda create -n openOFM-dev python=3.14
• conda activate openOFM-dev
• cd openOFM root folder of the repository
• install the dev dependencies from the pyoproject.toml file: pip install -e ".[dev]"

Citation

If openOFM was useful to you, please cite our work: Dixon, P. C., Drew, E. E., McBride, S. P., Harrington, M., Stebbins, J., & Zavatsky, A. B. (2025). OpenOFM: an open-source implementation of the multi-segment Oxford Foot Model. Computer Methods in Biomechanics and Biomedical Engineering, 1-14. https://doi.org/10.1080/10255842.2024.2448558