Join members of the OpenSim Team on Wednesday July 26th for an introduction to OpenSim and new tools for rapidly developing musculoskeletal simulations.

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1. Open the Anaconda Prompt.

2. Create a new conda environment for Python 3.10.

   Code Block
   (base) C:\Users\me> conda create -n addbio-processing python=3.10 matplotlib

   
   

3. Activate the conda environment.

   Code Block
   (base) C:\Users\me> conda activate tgcs2023addbio-processing

   
   

4. If paths to previous OpenSim versions exist on your PYTHONPATH environment variable, remove them and restart the shell.

5. Install the OpenSim conda package. This installs a version of OpenSim including Moco that is compatible with Python 3.10 and includes NumPy 1.21. 

   Code Block
   (addbio-processing) C:\Users\me> conda install -c opensim-org opensim-moco=4.4.1=py310np121

   
   

6. Launch a Python interpreter from your conda environment.

   Code Block
   (addbio-processing) C:\Users\me> python

   
   

7. Test the OpenSim configuration by checking the timestamp from running 

   Code Block
   >>> import opensim >>> opensim.GetVersionAndDate()

   in the Python interpreter; the date should be in June 2023.

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Visit the Moco website here.

Slides

TODO

Publications

Uhlrich SD, Falisse A, Kidzinski L, Muccini J, Ko M, Chaudhari AS, Hicks JL, Delp SL (2022) OpenCap: 3D human movement dynamics from smartphone videos. bioRxiv. https://doi.org/10.1101/2022.07.07.499061

Werling K, Bianco NA, Raitor M, Stingel J, Hicks JL, Collins SH, Delp SL, Liu CK (2023) AddBiomechanics: Automating model scaling, inverse kinematics, and inverse dynamics from human motion data through sequential optimization. bioRxiv. https://doi.org/10.1101/2023.06.15.545116

Dembia CL, Bianco NA, Falisse A, Hicks JL, Delp SL (2020) OpenSim Moco: Musculoskeletal optimal control. PLoS Comput Biol 16(12): e1008493. https://doi.org/10.1371/journal.pcbi.1008493

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