TABLE OF CONTENTS

ABSTRACT ………………………………………………………………………………………………………………… iii

ACKNOWLEDGMENTS …………………………………………………………………………………………… iv

LIST OF ILLUSTRATIONS. …………………………………………………………………………………….. vii

LIST OF TABLES…………………………………………………………………………….viii

SECTION

1. INTRODUCTION ………………………………………………………………………………………………… 1

2. LITERATURE REVIEW ……………………………………………………………………………………… 3

2.1. USER STATES ……………………………………………………………………………………………… 3

2.2. ELECTROENCEPHALOGRAM (EEG)…………………………………………..4

2.3. RELATED WORK …………………………………………………………………..5

3. RESEARCH METHODOLOGY ………………………………………………………………….. 12

3.1. EXPERIMENTAL DESIGN ……………………………………………………………………….. 12

3.2. RESEARCH PROCEDURE ……………………………………………………………………….. 12

3.3. MEASUREMENT ………………………………………………………………………………………. 14

3.4. CLASSIFICATION USING MACHINE LEARNING ………………………………… 15

3.4.1. Support Vector Machine………………………………………………………16
3.4.2. Random Forests………………………………………………………………16
3.4.3. k-Nearest Neighbors…………………………………………………………16
3.4.4. Statistics for Evaluating Models ………………………………………………………… 17

4. DATA ANALYSIS AND RESULTS …………………………………………………………………. 18

4.1. DATA PRE-PROCESSING ……………………………………………………………………….. 19

4.2. DATA ANALYSIS ……………………………………………………………………………………. 21

4.3. RESULTS …………………………………………………………………………………………………… 23

5. DISCUSSION OF RESULTS …………………………………………………………………………….. 30

6. LIMITATIONS AND FUTURE RESEARCH ……………………………………………………. 33

7. CONCLUSION ………………………………………………………………………………………………….. 34

BIBLIOGRAPHY ………………………………………………………………………………………………………. 36

VITA……………………………………………………………………………………………..40