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

Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits

GaitGAN: Invariant Gait Feature Extraction Using Generative Adversarial Networks

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

Extract and visualize gait data

Gait recognition system based on deep learning models.

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

python Convention Gait Model

Automatic muscle tendon junction tracking using deep learning 🦵🏼

Implements an entire machine learning pipeline to train and evaluate a Random Forest Classifier on labeled gait data for walking. Data generated during the experiment has led to helpful insights in to the problem domain.

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

A python DIgital Signal ProcEssing Library developed to standardize extraction of sensor-derived measures (SDMs) from wearables or smartphones data.

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

Computer-vision based monocular human pose-estimation and biomechanical gait analysis on elite runners. Using Yolov7 pose-estimation algorithm.

GapFill: gap filling functions for motion capture marker data

Gait recognition system based on YOLOv8

This project uses csv data obtained from an inertial measurement device, IMU to predict and model the human gait cycle. It can be used to calculate the number of steps taken, the type of motion i.e. walking, running and to identify errors and issues in the gait cycle.

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.

Gait analysis data pipeline for publication "TRIPOD—A Treadmill Walking Dataset with IMU, Pressure-Distribution and Photoelectric Data for Gait Analysis".

Code base for learning motion data