TABLE OF CONTENTS
CHAPTER TITLE
PAGE
ACKNOWLEDGEMENT vi
ABSTRACT vii
TABLE OF CONTENTS ix
LIST OF TABLES xii
LIST OF FIGURES xiii
LIST OF APPENDICES xv
1 INTRODUCTION
1.1 Research Background
1 1.2
Project Motivation 3
1.3 Problem Statement
4 1.4
Objective 5
1.5 Scope of Work
5
2 LITERATURE REVIEW
2.1 Theory and Basic Principles
2.1.1 Pattern Recognition 7
2.1.2 Electromyography EMG 8
2.1.3 Features Extraction 9
2.1.4 Wavelet Transform Overview 11
2.1.5 Noise or Disturbances Interface 13
2.2 Review of Previous Related Work
14 2.3
Summary and Discussion of the Reviews 16
3 METHODOLOGY
3.1 Principles of the Methods or Techniques
17 Used In the Previous Work
3.2 Pathway of the Research
18 3.3
Flow Chart of Final Year Project 2 19
3.4 Subject Criteria
20 3.5
Skin Preparation 20
3.6 Electrodes Placement
21 3.7
Sensing Element 23
3.8 Data Collection
25 3.9
Data Acquisition 28
3.10 Surface Electromyography sEMG 29
Analysis 3.11 Wavelet Analysis
29 3.12 Gantt Chart of Final Year Project 1 2
32 3.13 Key Milestone
33
4 RESULT AND DISCUSSION
4.1 Electromyography EMG Analysis
34 4.2
Features Extraction Analysis 36
4.2.1 Subject 1 37
4.2.2 Subject 2 38
4.2.3 Subject 3 39
4.2.4 The diagram of Features 40
Extraction Comparison between Three Male Subjects for
Each Fingers. 4.3
Wavelet Analysis 44
5 CONCLUSION
5.1 Conclusion
46 5.2
Recommendation 47
REFERENCES 48
LIST OF TABLES TABLE
TITLE PAGE
3.1 The subject’s details
19 3.2
The description of the muscle sensor 24
3.3 The fingers and hand movement
25 3.4
Each of the movements for the experimental
26
3.5 Gantt Chart summary for Final Year
Project
31
4.1 The repetitions set that were chosen for
the subjects
34
4.2 – 4.7 Subject 1RMS and SD values
36 4.8 – 4.13
Subject 2 RMS and SD values 37
4.14 – 4.19 Subject 3 RMS and SD values
