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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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  • Windows 10 or later (64-bit) or Mac (macOS 10.11 or later)
  • Python via Anaconda
    • Python 3.8, 3.9, or 3.10
    • NumPy
    • Matplotlib
  • Matlab
    • Matlab 2016b or later (64-bit). Matlab 2018a or later is best.
  • A text editor (e.g., Notepad++)

3. Anaconda environment

  1. Download and install Anaconda.
  2. Open the Anaconda Prompt (or, Powershell on Windows, Terminal on Mac, etc).
  3. Before proceeding, you may need to initialize conda for shell interaction by running

    Code Block
    C:\> conda init <shell-name>

    where <shell-name> is one of the following: cmd.exe (Windows default), bash (macOS default), powershell, fish, zsh, tcsh, xonsh.

  4. Create a new conda environment with your Python version (e.g., 3.10). TODO update package list for OpenCap.

    Code Block
    C:\> conda create -n tgcs2023 python=3.10 numpy=1.21 matplotlib 


  5. Activate the conda environment.

    Code Block
    C:\> conda activate tgcs2023


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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

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name2022.07.07.499061v1.full.pdf
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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

View file
name2023.06.15.545116v1.full.pdf
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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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namejournal.pcbi.1008493 (2).pdf
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