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Preface |
8 |
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Contents |
10 |
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Chapter 1 Introduction |
11 |
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1.1 The Problem of Driver Drowsiness |
11 |
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1.2 What Is Drowsiness? |
12 |
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1.3 What Causes Drowsiness? |
14 |
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1.4 What Can We Do About It? |
15 |
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References |
15 |
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Chapter 2 Driver Drowsiness Detection and Measurement Methods |
16 |
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2.1 Subjective Methods |
16 |
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2.2 Physiological Methods |
19 |
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2.3 Vehicle-Based Methods |
20 |
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2.4 Behavioral Methods |
22 |
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2.5 Hybrid Methods |
23 |
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References |
23 |
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Chapter 3 Commercial Solutions |
28 |
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3.1 Car Manufacturers |
28 |
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3.2 Independent Products |
31 |
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References |
32 |
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Chapter 4 Research Aspects |
33 |
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4.1 Imaging Sensors |
34 |
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4.1.1 Visible Light Cameras |
34 |
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4.1.2 Near Infrared (NIR) Cameras |
35 |
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4.2 Feature Detection and Extraction |
35 |
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4.3 Machine Learning Classifiers |
40 |
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4.4 Challenges and Practical Aspects |
42 |
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4.4.1 Data Collection |
42 |
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4.4.2 Performance Requirements |
43 |
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References |
44 |
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Chapter 5 Examples |
46 |
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5.1 Selected Recent Work |
46 |
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5.1.1 Head Pose Estimation |
47 |
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5.1.2 Yawning |
47 |
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5.1.3 Eye State Estimation |
48 |
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5.2 Our Work |
50 |
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5.2.1 System Initialization: Preparation |
51 |
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Skin Color Feature Analysis |
53 |
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Eye Model Analysis |
54 |
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Head Position Analysis |
54 |
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5.2.2 Regular Stage: Eye Tracking with Eye-State Analysis |
54 |
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5.2.3 Warning Stage: Nod Analysis |
55 |
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Head Position Monitoring |
55 |
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5.2.4 Alert Stage |
56 |
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References |
57 |
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