Title: An EEG-Based Approach to Drowsiness Detection   (1993-1996)

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Contents

Abstract

Introduction
1.1 - Overview

Background and Literature Review
2.1 - The EEG and Electrode Placement
2.2 - The EEG and Sleep Architecture
2.3 - The EEG and Detection of Drowsiness
2.4 - EEG Signal Processing and Data Analysis Methods

Research Methodology
3.1 - Rationale
3.2 - Experimental Study Description

Experimental Data Analysis Procedures
4.1 - Overview
4.2 - Data Analysis

Data Analysis
5.1 - Traditional EEG Data Collection Overview
5.2 - FFT Frequency Resolution Considerations
5.3 - Data Extraction and Handling
5.4 - Preliminary Data Analysis
5.5 - High frequency signal or noise?
5.6 - Spectrograms
5.7 - Spectrograms using data containing behavioral transitions
5.8 - Concluding Remarks

Algorithm Development
6.1 - Tracking single frequencies
6.2 - Tracking frequency bands
6.3 - Inverse measure
6.4 - General Algorithm Methodology
6.5 - Continuous Measure of Drowsiness
6.6 - Closing words

Summary and Conclusions
7.1 - Summary/re-cap of research objectives
7.2 - Summary/re-cap of literature survey
7.3 - Specific contributions of this work
7.4 - Closing summary

Appendix

References