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addbiomechanics-paper

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

balance-exo-sim

casadi

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.

coupled-exo-sim

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

gaitlab

grf_filtering

imu-fog-detection

knee_oa_staging

knee_oa_staging_training

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

kneenet-docker

kneenet-local-instructions

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.

mobile-gaitlab

mobilize-tutorials

Mobilize Center Tutorials

mobilize-tutorials-data

mocopaper

Generate the results for the publication on OpenSim Moco.

mocoshlo

Utility for running OpenSim Moco on Stanford's Sherlock cluster.

neurips2019-learning-to-move-starter-kit

oai-t2-map

opencap-analysis

opencap-api

opencap-core

Main OpenCap processing pipeline

opencap-processing

Utilities for processing OpenCap data.

opencap-viewer

opensim-taskspacecontrol

Task space control framework in OpenSim

optctrlmuscle

Optimal control approach to solving the muscle redundancy problem. Code expanded upon from the SimTK project located here: https://simtk.org/projects/optcntrlmuscle. Additional software required as described in the included Manual.

osim-rl

Reinforcement learning environments with musculoskeletal models

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.

passivemuscleforcecalibration

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

predictkam

Predict the knee adduction moment using motion capture marker positions.