Reinforcement learning environments with musculoskeletal models
Markerless kinematics with any cameras — From 2D Pose estimation to 3D OpenSim motion
We developed a method animating a statistical 3D human model for biomechanical analysis to increase accessibility for non-experts, like patients, athletes, or designers.
Toolbox for using multiple cameras from intrinsic calculations to reconstructing kinematics
Code for "Synthesis of Biologically Realistic Human Motion Using Joint Torque Actuation", SIGGRAPH 2019
Materials to reproduce the results of our paper about 3D muscle modelling.
An OpenAI-Gym Package for Training and Testing Reinforcement Learning algorithms with OpenSim Models
Pose2Sim visualizer tool — Import cameras and OpenSim data in Blender
Scripts and models to optimize musculotendon parameters in musculoskeletal models.
Discord webhook example for Second Life/Opensimulator
Neuromusculoskeletal Modeling (NMSM) Pipeline codebase
Package to interface musculoskeletal models with finite element packages
Bone deformation tool designed for applying torsional profiles to bones of musculoskeletal models used in OpenSim
Apply Reinforcement Learning (RL) to enable prosthetics to calibrate with differences between humans and differences between walking environments
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