High-performance C++ multibody dynamics/physics library for simulating articulated biomechanical and mechanical systems like vehicles, robots, and the human skeleton.
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Updated
May 22, 2024 - C++
High-performance C++ multibody dynamics/physics library for simulating articulated biomechanical and mechanical systems like vehicles, robots, and the human skeleton.
Reinforcement learning environments with musculoskeletal models
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.
Notes on Scientific Computing for Biomechanics and Motor Control
Nimble: Physics Engine for Biomechanics and Deep Learning
The open source initiative for anonymized, elite-level athletic motion capture data. Run by Driveline Baseball.
Markerless kinematics with any cameras — From 2D Pose estimation to 3D OpenSim motion
PyDy tutorial materials for MASB 2014, PYCON 2014, and SciPy 2014/2015.
Python toolbox for biomechanics analysis
Tools for the Cleveland State Human Motion and Control Lab
An optimization framework that links CasADi, Ipopt, ACADOS and biorbd for Optimal Control Problem
We developed a method animating a statistical 3D human model for biomechanical analysis to increase accessibility for non-experts, like patients, athletes, or designers.
An Open-Source Python Package to Facilitate Research in Biomechanics
STAPLE (Shared Tools for Automatic Personalised Lower Extremity modelling) consists of a collection of methods for generating skeletal models from three-dimensional bone geometries, usually segmented from medical images. The methods are currently being expanded to create complete musculoskeletal models.
Solve optimal control problems for musculoskeletal models using OpenSim and direct collocation.
Information of public available data sets for biomechanics.
Library to explore, process, and analyze movement acquisition data
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