GaitGAN: Invariant Gait Feature Extraction Using Generative Adversarial Networks
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Updated
May 26, 2018 - Python
GaitGAN: Invariant Gait Feature Extraction Using Generative Adversarial Networks
A Comprehensive Study on Cross-View Gait Based Human Idendification with Deep CNNs
Source Code for the Rehabilitation Robot project that I worked on during my Winter Internship @ IIT-Kharagpur
Raw dataset from "Signal Processing and Machine Learning for Diplegia Classification" and "Gait-Based Diplegia Classification Using LSMT Networks"
사람의 걸음걸이를 딥러닝 모델을 이용하여 뼈대를 찾는 이미지 프로세싱
You Walk, We Authenticate: Lightweight Seamless Authentication Based on Gait in Wearable IoT Systems
[Week-end project] Accelerometer-based gait analysis and identification
GapFill: gap filling functions for motion capture marker data
Feature Extraction From Image Sequences For Gait Analysis
Real-time Fall Detection of a Person unobtrusively using video recording
send plug-in gait data from Vicon Nexus 2.12(onwards) to an excel file
Code base for learning motion data
Scripts to process the Smart Walker Database, for posture and gait analysis.
Master's Degree Project – M.Sc. in Media Technology and Engineering at Linköping University – Automated Gait Analysis Using Deep Metric Learning
Code and Data used for the paper "Explaining Machine Learning Models for Clinical 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.
Scripting and anonymized datasets created through soft sensors research done by Athlete Engineering.
Gait analysis data pipeline for publication "TRIPOD—A Treadmill Walking Dataset with IMU, Pressure-Distribution and Photoelectric Data for Gait Analysis".
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