STRESS DETECTION USING GALVANIC SKIN RESPONSE SHAHNAZ SAKINAH BINTI SHAIFUL BAHRI UNIVERSITI MALAYSIA PAHANG

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1 STRESS DETECTION USING GALVANIC SKIN RESPONSE SHAHNAZ SAKINAH BINTI SHAIFUL BAHRI UNIVERSITI MALAYSIA PAHANG

2 STRESS DETECTION USING GALVANIC SKIN RESPONSE SHAHNAZ SAKINAH BINTI SHAIFUL BAHRI This thesis is submitted as partial fulfilment of the requirements for the award of the Bachelor of Electrical Engineering (Hons.) (Electronics) Faculty of Electrical & Electronics Engineering Universiti Malaysia Pahang DECEMBER 2016

3 ii SUPERVISOR S DECLARATION I hereby declare that I have checked this thesis and in my opinion, this thesis is adequate in terms of scope and quality for the award of the degree of the Bachelor Degree of Electrical Engineering (Hons.) (Electronics). Signature : Name of Supervisor : DR. MD RIZAL BIN OTHMAN Position : SUPERVISOR Date : 15 DECEMBER 2016

4 iii STUDENT S DECLARATION I hereby declare that the work in this thesis is my own except for quotations and summaries which have been duly acknowledged. The thesis has not been accepted for any degree and is not concurrently submitted for award of other degree. Signature : Name : SHAHNAZ SAKINAH BINTI SHAIFUL BAHRI ID Number : ED13003 Date : 15 DECEMBER 2016

5 Specifically dedicated to my family members, supervisor and friends throughout the progress of completing my Final Year Project. Thanks for all moral support, encouragement and advices iv

6 v ACKNOWLEDGMENTS In preparing this thesis, I connected with many lecturers, assistant laboratory and practitioners. I have gained many knowledge about my project from them. In particular, I wish to express my sincere appreciation to my supervisor, Dr. Md Rizal Bin Othman, for guidance, encouragement, information, advice, comment and motivation. Without their nonstop support, this thesis would not have been completed. I am also grateful to Universiti Malaysia Pahang (UMP) for my degree study. All librarians at UMP also deserve thanks for their help in supplying the relevant literatures. My sincere appreciation also prolongs to all my friends, and those who have provided assistance. I am grateful to all my family members especially my parents as my backbones that always give me moral support and advices to withstand any obstacle that I have undergo during completing my Final Year Project and thesis. Thank you.

7 viii TABLE OF CONTENTS SUPERVISOR S DECLARATION STUDENT S DECLARATION ACKNOWLEDGEMENT ABSTRACT ABSTRAK TABLE OF CONTENTS LIST OF TABLES LIST OF FIGURES LIST OF ABBREVIATIONS Page ii iii v vi vii viii x xi xiii CHAPTER 1 INTRODUCTION 1.1 Project Background Problem Statement Objective Scope of Project Financial Cost Gantt Chart 3 CHAPTER 2 LITERATURE REVIEW 2.1 Introduction Stress Recognition System Support Vector Machine K-Nearest Neighbor Fuzzy Logic Bayesian Network Decision Tree Summary of Literature Review 13 CHAPTER 3 METHODOLOGY 3.1 Design Operation 14

8 ix Galvanic Skin Response Arduino Uno R3 Board Fuzzy Logic in Matlab 18 CHAPTER 4 RESULTS AND DISCUSSION 4.1 Results Discussion 25 CHAPTER 5 CONCLUSION AND RECOMMENDATION 5.1 Conclusion Future Work & Recommendation 26 REFERENCES 27

9 x LIST OF TABLES Table No. Title Page 2.1 FL Typical Base Stress Detection System s Rules 20

10 xi LIST OF FIGURES Figure No. Title Page 1.1 Stress Causes and Indication of Stress PSM 1 schedule PSM 2 schedule GSR Stress Recognition Hardware using JN Categories of SVM ANN Sample of Distinct Function and Fuzzy Function Characteristics of Fuzzy Logic (FL) Membership Function s Category Suggested Stress Detection using GSR Flowchart of the system GSR s Placement Voltage Divider Circuit Improved GSR circuit with filter Arduino Uno Board Schematic Circuit of Arduino Uno Board FL s Membership Function Stress Indicator s Output Variable Data Collected from GSR Sensor Subject Subject Subject Subject 4 23

11 xii 4.6 Subject Subject Non-stress data of 9 subject Stress data of 9 subject 25

12 xiii LIST OF ABBREVIATIONS GSR SCA ECG EMG HR PD SVM k-nn FL Galvanic Skin Response Skin Conductance Algesimeter Electrocardiogram Electromyography Heart Rate Pure Data Support Vector Machine K-Nearest Neighbor Fuzzy Logic ID3 Iterative Dichotomiser 3