A curated, public list of resources for biomechanics and human motion analysis: datasets, processing tools, software for simulation, educational videos, lectures, etc.

Package for analyzing human motion data (e.g. PA, gait)

Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits

Real-time gait analysis, visualization, and machine-learning tooling for biomechanics research.

A research project that aims to detect Parkinson's disease in patients using Gait Analysis data. Subsequently, the project may make use of Gait Data Analysis to make powerful inferences which would help in genralizing the most common groups affected by this disease.

Improved Step Counting via Foundation Models for Wrist-Worn Accelerometers

GaitGAN: Invariant Gait Feature Extraction Using Generative Adversarial Networks

A Comprehensive Study on Cross-View Gait Based Human Idendification with Deep CNNs

Gait recognition system based on deep learning models.

Code and Data used for the paper "Explaining Machine Learning Models for Clinical Gait Analysis"

Extract and visualize gait data

This project generates the motor control commands for exoskeleton.

python Convention Gait Model

[TIFS 2019] Skeleton-based Gait Recognition via Robust Frame-level Matching (RFM)

Automatic muscle tendon junction tracking using deep learning 🦵🏼

Fully automated (rodent) limb motion analysis toolbox for behavioral analysis with bodypart coordinate data, building upon markerless pose estimation.

Developing economical sensor systems for Gait data acquisition, analysis and visualization

Raw dataset from "Signal Processing and Machine Learning for Diplegia Classification" and "Gait-Based Diplegia Classification Using LSMT Networks"

Digital Biomarkers for Parkinson's Disease Toolbox.

IntellEvent is a robust and accurate overground gait event detection algorithm for various pathologies. Here you can find a pipeline for Vicon Nexus to implement in your routine which automatically detects initial contact and foot off events during walking.