Feature Extraction From Image Sequences For Gait Analysis
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Updated
Sep 4, 2020 - Python
Feature Extraction From Image Sequences For Gait Analysis
[Week-end project] Accelerometer-based gait analysis and identification
Master's Degree Project – M.Sc. in Media Technology and Engineering at Linköping University – Automated Gait Analysis Using Deep Metric Learning
send plug-in gait data from Vicon Nexus 2.12(onwards) to an excel file
사람의 걸음걸이를 딥러닝 모델을 이용하여 뼈대를 찾는 이미지 프로세싱
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.
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.
The emerging domain of tele-rehabilitation aims to eliminate bulky equipment traditionally used in the rehabilitation of those with motor impairment. Our proposed setup of a compact, simplified module for tele-rehabilitation involves a depth camera which detects the joint coordinates of the subject and generate gait cycle charts.
Some QA tests performed on the force plates in our Gait Lab
An open source gait analysis system with a 3D imaging system
Scripting and anonymized datasets created through soft sensors research done by Athlete Engineering.
Scripts to process the Smart Walker Database, for posture and gait analysis.
Automatic muscle tendon junction tracking using deep learning 🦵🏼
[a.a. 23/24] Repo for FVAB course-project
Computer-vision based monocular human pose-estimation and biomechanical gait analysis on elite runners. Using Yolov7 pose-estimation algorithm.
Source Code for the Rehabilitation Robot project that I worked on during my Winter Internship @ IIT-Kharagpur
You Walk, We Authenticate: Lightweight Seamless Authentication Based on Gait in Wearable IoT Systems
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
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