Package for analyzing human motion data (e.g. PA, gait)
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Updated
Nov 18, 2018 - Python
Package for analyzing human motion data (e.g. PA, gait)
python Convention Gait Model
GaitGAN: Invariant Gait Feature Extraction Using Generative Adversarial Networks
Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits
A Comprehensive Study on Cross-View Gait Based Human Idendification with Deep CNNs
Code base for learning motion data
Gait recognition system based on deep learning models.
Real-time Fall Detection of a Person unobtrusively using video recording
Gait analysis data pipeline for publication "TRIPOD—A Treadmill Walking Dataset with IMU, Pressure-Distribution and Photoelectric Data for Gait Analysis".
Fully automated (rodent) limb motion analysis toolbox for behavioral analysis with bodypart coordinate data, building upon markerless pose estimation.
Code and Data used for the paper "Explaining Machine Learning Models for Clinical Gait Analysis"
GapFill: gap filling functions for motion capture marker data
Extract and visualize gait data
Code for the biomechanical analysis program for the group 13 TSE project.
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"
Source Code for the Rehabilitation Robot project that I worked on during my Winter Internship @ IIT-Kharagpur
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