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osim-rl
Reinforcement learning environments with musculoskeletal modelsopencap-core
Main OpenCap processing pipelinemobile-gaitlab
opencap-processing
Utilities for processing OpenCap data.mobilize-tutorials
Mobilize Center Tutorialsosimpipeline
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.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 OpenSimpsim
Framework for conducting predictive simulations. Currently in development.gaitlab
grf_filtering
kneenet-local-instructions
opencap-analysis
shoulder-personalization
Python scripts to scale and personalize the Saul upper body modelLove Open Source and this site? Check out how you can help us