There are 5 repositories under musculoskeletal-models topic.
SimTK OpenSim C++ libraries and command-line applications, and Java/Python wrapping.
A curated, public list of resources for biomechanics and human motion analysis: datasets, processing tools, software for simulation, educational videos, lectures, etc.
Open Source Software for Predictive Simulation of Biological Motion.
An OpenAI-Gym Package for Training and Testing Reinforcement Learning algorithms with OpenSim Models
Scripts and models to optimize musculotendon parameters in musculoskeletal models.
In this repository, we try to solve musculoskeletal tasks with `Double DQN reinforcement learning` by using a `transformer` model has been used as the base model architecture.
Data (bone geometries and gait analysis data) and scripts to reproduce the results and figures of the scientific publication specified in the README file.
Predictive simulations of walking in children with cerebral palsy
Reproducibility package (repropack) for generating all the models, results and figures included in the referenced publication. We investigated the effect of femoral anteversion on the joint reactions of the lower limb and compared the results against the in vivo loading measured by an instrumented prosthesis (Grand Challenge Dataset).
Modeling the dynamics and kinematics of a basic rigid body version of the human hand, involving bones, muscles, tendons, and skin
This is the code used for the paper submission for the exotendon simulation study.
Adult-Child Musculoskeletal Model and Motion Analysis.
Real-time force estimation for the lower leg muscles using a Hill-type model and a distributed network of wearable sensors
This code uses the MuscularModel classes and other code to create a workstation that allows to simulate a model, control it via a GUI, and observe a graph that is plotted with real-time values of the model with the class LiveGraph
The MuscularModel class is an abstract class that uses the classes (Muscle, Bone, Weight, Nail, Hinge and Glue) to manage a muscular and skeletal model simulation with the help of the library PBox2D by Daniel Shiffman.
This project aspires to estimate how motion strategy affects ACL forces during a submaximal Hop Distance test.