Python toolbox for biomechanics analysis
-
Updated
Jun 2, 2025 - Jupyter Notebook
Python toolbox for biomechanics analysis
Python-based tool to generate anthropometric human whole-body models in a URDF format
Bone deformation tool designed for applying torsional profiles to bones of musculoskeletal models used in OpenSim
Wearable gait event detection device with real-time gait event-dependent feedback. Heel-strike events accuracy was validated with floor-embedded force plates.
Information about the FEZ initiative and information for contributors
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).
A C3D motion capture file parser, writer and editor written in Rust - C3D has never been easier
Simple biomechanical analysis for 2D motion capture
Interactive visualization of biomechanic dance data (obtained from VICON force plates and optic sensors). Case study on Javanese dance.
Developing advanced biomechanics software for research and clinical use
R language for Human Performance Analysis
This is the official repository for the paper on long term fatigue using a dumbell lifting optimal control problem
Scripting and anonymized datasets created through soft sensors research done by Athlete Engineering.
Project Supervised by Professor Jean-Marc Allain on Cornea Stretch Extraction From Tonometer Captures
Public repo for sharing teaching tutorials for image processing and kinematics data analysis. Other materials: animal locomotion data, images
This repository contains a detailed biomechanical analysis of human gait based on 2D marker tracking data. The goal is to visualise and quantify lower-limb motion, joint angles, segment orientations, and muscle lengths.
Computer vision system that analyzes sports footage to provide real-time performance metrics, injury prevention insights, and tactical recommendations.
Me han pedido que aprenda a tocar Opensim y aquí voy subiendo mis avances y guías
Prediction of pathologies based on biomechanical data using machine learning models (logistic regression, random forest)
Add a description, image, and links to the biomechanics-analysis topic page so that developers can more easily learn about it.
To associate your repository with the biomechanics-analysis topic, visit your repo's landing page and select "manage topics."