Predictive Modeling of Neurological State with Multidimensional Time Series Data in Parkinson Disease Patients
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Updated
Oct 21, 2024 - Jupyter Notebook
Predictive Modeling of Neurological State with Multidimensional Time Series Data in Parkinson Disease Patients
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".
An open-source 3D-printed quadrupedal robot. Intuitive gait generation through 12-DOF Bezier Curves. Full 6-axis body pose manipulation. Custom 3DOF Leg Inverse Kinematics Model accounting for offsets.
Gait analysis in python using posture estimation.
Awesome Person Re-identification
A flexible, effective and fast cross-view gait recognition network
A freeware application to store, process, and present Gait Analysis data.
A curated, public list of resources for biomechanics and human motion analysis: datasets, processing tools, software for simulation, educational videos, lectures, etc.
This is the code repository for the paper titled "Geometric Mechanics of Contact-Switching Systems" (PDF: https://arxiv.org/abs/2308.14357)
This is the code repository for the paper titled "Geometric Mechanics of Contact-Switching Systems" (PDF: https://arxiv.org/abs/2306.10276)
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
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.
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.
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
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