Explore @stanfordnmbl Open Source projects

Stanford Neuromuscular Biomechanics Laboratory (@stanfordnmbl)

stanfordnmbl

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osim-rl

Reinforcement learning environments with musculoskeletal models

opencap-core

Main OpenCap processing pipeline

mobile-gaitlab

Jupyter Notebook

opencap-processing

Utilities for processing OpenCap data.

mobilize-tutorials

Mobilize Center Tutorials

Jupyter Notebook

osimpipeline

Python framework for generating scientific workflows with the OpenSim musculoskeletal modeling and simulation software package. Built on Python DoIt (http://pydoit.org/), osimpipeline handles the organization of input and output files for generating simulations and results in a clean, repeatable manner.

sit2stand-analysis

mocopaper

Generate the results for the publication on OpenSim Moco.

predictKAM

Predict the knee adduction moment using motion capture marker positions.

Jupyter Notebook

MatlabStaticOptimization

Custom static optimization implementation that allows for flexible cost terms, such as EMG tracking, as well as the incorporation of passive muscle forces and tendon compliance.

imu-fog-detection

video-pipelines

kneenet-docker

knee_OA_staging

coupled-exo-sim

Simulations of single and multi-joint assistive devices to reduce the metabolic cost of walking.

opencap-api

balance-exo-sim

PassiveMuscleForceCalibration

Calibrates the passive muscle forces in an OpenSim model based on experimentally-collected passive joint moments from Silder et al. 2007.

opencap-viewer

addbiomechanics-paper

Data and results for the manuscript associated with the AddBiomechanics automated data-processing tool.

opensim-taskspacecontrol

Task space control framework in OpenSim

psim

Framework for conducting predictive simulations. Currently in development.

gaitlab

grf_filtering

kneenet-local-instructions

opencap-analysis

toilet-seat

shoulder-personalization

Python scripts to scale and personalize the Saul upper body model