Package for analyzing human motion data (e.g. PA, gait)
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Updated
May 18, 2025 - Python
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.
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
python Convention Gait Model
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.
Raw dataset from "Signal Processing and Machine Learning for Diplegia Classification" and "Gait-Based Diplegia Classification Using LSMT Networks"
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.
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.
Gait recognition system based on YOLOv8
A python DIgital Signal ProcEssing Library developed to standardize extraction of sensor-derived measures (SDMs) from wearables or smartphones data.
Computer-vision based monocular human pose-estimation and biomechanical gait analysis on elite runners. Using Yolov7 pose-estimation algorithm.
Gait analysis data pipeline for publication "TRIPOD—A Treadmill Walking Dataset with IMU, Pressure-Distribution and Photoelectric Data for Gait Analysis".
Developing a wireless, portable system with IMU and FSR sensors to monitor foot plantar pressure and gait of individuals with DFD or neurological abnormalities. The system provides visual feedback, gait parameters, shank kinematics, CoP, and stability evaluation. Data is transferred to a PC for analysis.
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