There are 16 repositories under gait-analysis topic.
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
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.
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"
This project generates the motor control commands for exoskeleton.
Developing economical sensor systems for Gait data acquisition, analysis and visualization
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.
A python DIgital Signal ProcEssing Library developed to standardize extraction of sensor-derived measures (SDMs) from wearables or smartphones data.
A step-counting model based on self-supervised learning for wrist-worn accelerometer data.
neural style tranfer from one walking/gait cycle to another; ArXiv:1606.03238 & ArXiv:1508.06576
Detection of two phases (swing and stance) phase from the IMU datasets.
Raw dataset from "Signal Processing and Machine Learning for Diplegia Classification" and "Gait-Based Diplegia Classification Using LSMT Networks"
Wearable gait event detection device with real-time gait event-dependent feedback. Heel-strike events accuracy was validated with floor-embedded force plates.
Deep Learning Models for the Early Detection of Parkinson’s Disease using the motor-based symptoms.
Computer-vision based monocular human pose-estimation and biomechanical gait analysis on elite runners. Using Yolov7 pose-estimation algorithm.
Project involving Deep Learning using TensorFlow, which involves GAIT learning of a quadrupedal robotic system. The robotic system is modeled in Unity3D, and utilizes recurrent neural networks.
Based on the Kinect depth camera and MediaPipe, real-time reasoning of the joint activity of each part of the human body, and output a detection report.
Implementation of Authentication Scheme using Gait Signals Captured from Accelerometer (SECRYPT'15)
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.
Code base for learning motion data
Scripts to process the Smart Walker Database, for posture and gait analysis.
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.
Neurodegenerative Disease Gait Analysis using Deep Learning