Code for 2016 TPAMI(IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE) A Comprehensive Study on Cross-View Gait Based Human Identification with Deep CNNs

Predictive Modeling of Neurological State with Multidimensional Time Series Data in Parkinson Disease Patients

Python implementation of the paper "Gait-Based Gender Classification Using a Correlation-Based Feature Selection Technique"

Domain Ontology for Gait Analysis to Support Clinical Decision-Making in the Treatment of Gait-related Diseases

Python implementation of the paper "Multi-Time Window Feature Extraction Technique for Anger Detection in Gait Data"

Gait Recognition with 3D CNN. This project proposes a novel approach using 3D convolutional neural networks (3D CNN) to capture spatio-temporal features of gait sequences for robust recognition in an un-intrusive manner.

A curated, public list of resources for biomechanics and human motion analysis: datasets, processing tools, software for simulation, educational videos, lectures, etc.

Gait recognition system based on YOLOv8

[a.a. 23/24] Repo for FVAB course-project

A python DIgital Signal ProcEssing Library developed to standardize extraction of sensor-derived measures (SDMs) from wearables or smartphones data.

Awesome Person Re-identification

This is the code for the paper "Gait Recognition in the Wild with Dense 3D Representations and A Benchmark. (CVPR 2022)", "Gait Recognition in the Wild with Multi-hop Temporal Switch", and "Parsing is All You Need for Accurate Gait Recognition in the Wild".

Code for the paper "Vision-based Estimation of MDS-UPDRS Gait Scores for Assessing Parkinson’s Disease Motor Severity"

Stuff related to the BMClab public datasets

Autoencoder for gait recognition and elderly monitoring.

GitHub repository established to house support code and raw data for PhysioNet database consisting of time-synchronized raw smartphone IMU, reference (ground truth) IMU, and pressure-sensing walkway data collected during normal gait and obstacle avoidance gait with two different smartphones placed at varying positions and orientations on the body.

Predictive Modeling of Neurological State with Multidimensional Time Series Data in Parkinson Disease Patients

Gait recognition system based on deep learning models.

Hexapod Robot Control