Deep Learning-Based Pose Estimation for Dystonia Score Prediction

✍ Scribed by Sushant Gautam

Publisher: Eliva Press
Year: 2023
Tongue: English
Leaves: 87
Category: Library

No coin nor oath required. For personal study only.

✦ Table of Contents

COPYRIGHT
DECLARATION
RECOMMENDATION
DEPARTMENTAL ACCEPTANCE
ACKNOWLEDGMENT
ABSTRACT
TABLE OF CONTENTS
LIST OF FIGURES
LIST OF TABLES
LIST OF ABBREVIATIONS
INTRODUCTION
Background
Motivation
Problem Definition
Project Objectives
Scope of Project
Potential Project Applications
Originality of Project
Organisation of Project Report
LITERATURE REVIEW
Technologies for Dystonia Assessment
Vision-based Methods
Wearable Sensing
Other Methods
Pose Estimation
3D Pose Estimation
Dystonia
Pathophysiology and Clinical Presentation
Treatment Options
Rating Scales
METHODOLOGY
Theoretical Formulations
Human Body Models
Human Pose Estimations
Classical methods to Human Pose Estimation
DL based Human Pose Estimation
Top-down approach
Bottom-up approach
Data analysis and Modelling
Statistical Data Analysis
Mathematical Modeling
Body Poses using Part Affinity Fields
Machine Learning Models
Deep Neural Networks
System Block Diagram
Description of Algorithms
Elaboration of Working Principle
Instrumentation Requirements
Dataset Explanation
Dystonia Dataset
VideoGait-V1
3D Pose Estimation
Video Pre-processing
Detectron for 2D keypoints estimation
Creating a Custom Dataset
3D Inference and rendering
Graph Based Methods
Verification and Validation Procedures
Cohen's kappa
F-Score
RESULTS
Interface
Web Tagging Tool
OpenPose JSON Visualization
Selection of GDRD Score for Modeling
Full Body Assessment Segment
Neck Assessment Segment
Correlations between related GDRS Scores
Applying OpenPose on the Videos
Video Normalization
3D Pose Estimation
Using Graph Based Methods for Score Modelling
Multi-line plots of keypoint positions
DISCUSSION AND ANALYSIS
Model
Regularization Techniques
Model Evaluation
5-Fold Validation
Using 3D Video Pose Methods
Using Graph-Based Approach for score prediction
Visualizing Data
Abnormality in the multi-line plot
Combined animating plot as visual tool
FUTURE ENHANCEMENTS
CONCLUSION
Project Schedule
Literature Review of Base Paper- I
Literature Review of Base Paper- II
Literature Review of Base Paper- III
REFERENCES

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