Intro
Preface
Organization of the Book
Anticipated Audience
Acknowledgments
Contents
About the Authors
Acronyms
Part I The Background
1 Wireless Sensing Overview
1.1 What Is Wireless Sensing?
1.2 Applications of Wireless Sensing
1.3 Challenges of Wireless Sensing
1.3.1 Representative Signal Feature
1.3.2 Effective Recognition Model
1.3.3 Informative Dataset
References
2 Understanding of Channel State Information
2.1 Definition of CSI
2.2 Noise in CSI
2.3 Signal Features in CSI
2.3.1 Time of Flight

2.3.2 Angle of Arrival and Angle of Departure
2.3.3 Doppler Frequency Shift
2.4 CSI Data Collection
2.4.1 Intel 5300 NIC CSI Tool
2.4.2 Atheros-CSI-Tool
2.4.3 PicoScenes Platform
References
Part II Detection: Passive Human Detection with Wireless Signals
3 Passive Human Detection with Wi-Fi
3.1 Introduction
3.2 Preliminaries
3.2.1 The Omnidirectional Passive Human Detection Problem
3.2.2 Signal Power Features
3.3 Feature Extraction and Classification
3.3.1 Sensitivity to Human Presence
3.3.2 Resistance to Environmental Dynamics

3.3.3 Modeling CFR Amplitude Features
3.3.4 Signature Classification
3.4 Human Detection
3.5 Performance
3.5.1 Experiment Methodology
3.5.2 Static Detection Performance
3.5.3 The Impact of Window Size
3.5.4 Mobile Detection Performance
3.6 Related Work
3.7 Conclusion
References
4 Passive Detection of Moving Targets with Dynamic Speed Using Wi-Fi
4.1 Introduction
4.2 Related Works
4.3 Overview
4.4 Methodology
4.4.1 Data Preprocessing
4.4.1.1 Phase Sanitization
4.4.1.2 Outlier Filter
4.4.2 Feature Extraction
4.4.3 Motion Detection

4.4.4 Enhancement Via Multiple Antennas
4.5 Experiments and Evaluation
4.5.1 Experimental Setup
4.5.2 Performance Evaluation
4.5.2.1 Evaluation Metric
4.5.2.2 Overall Performance
4.5.2.3 Impacts of Sliding Window Size
4.5.2.4 Impacts of Number of Features
4.5.2.5 Impacts of Number of Antennas
4.5.2.6 Performance Against Dynamic Speed
4.6 Conclusion
References
5 Passive Detection of Moving and Stationary Human with Wi-Fi
5.1 Introduction
5.2 Related Works
5.3 Preliminary
5.4 System Design
5.4.1 Overview
5.4.2 Motion Interference Indicator

5.4.3 Moving Target Detection
5.5 Stationary Target Detection
5.5.1 Periodic Alterations from Breathing
5.5.2 Breathing Detection
5.5.2.1 Signal Filter
5.5.2.2 Sinusoidal Model
5.5.2.3 Parameter Estimation
5.5.3 Embracing Frequency Diversity
5.6 Experiments and Evaluation
5.6.1 Implementation
5.6.1.1 Experimental Environments
5.6.1.2 Experimental Methodology
5.6.1.3 Evaluation Metrics
5.6.2 Performance
5.6.2.1 Performance of Detecting Moving Human
5.6.2.2 Performance of Detecting Static Human
5.6.2.3 Putting It All Together