Описание: Part I The Background1 Human Sensing Modalities and Applications
1.1 What is Wireless Sensing
1.1.1 Definition
1.1.2 Wireless Signals
1.2 Characteristics of Wireless Sensing
1.3 Applications of Wireless Sensing
1.3.1 Smart Home
1.3.2 Security Surveillance
1.3.3 Vital/Biometrical Features Recognition
Part II Getting Started
2 Main Steps for Wireless Sensing
2.1 Data Collection
2.2 Signal Preprocessing
2.3 Feature Extraction
2.4 Model Training and Inference
Part III Detection: Passive Human Detection with Wireless Signals 3 The Background of Passive Human Detection
3.1 Motivation
3.2 Related Work
4 Passive Detection of Human with Dynamic Speed 4.1 Introduction
4.2 System Overview
4.3 Methodology
4.3.1 Data Processing
4.3.2 Feature Extraction
4.3.3 Motion Detection
4.3.4 Enhancement via Multiple Antennas
4.4 Experiments and Results
4.4.1 Experiment Setup 4.4.2 Performance Evaluation
4.5 Conclusions
5 Detection of Moving and Stationary Human with Wi-Fi
5.1 Introduction 5.2 Preliminary
5.3 System Design
5.3.1 Overview
5.3.2 Motion Inference Indicator
5.3.3 Moving Target Detection
5.4 Stationary Target Detection
5.4.1 Periodic Alterations from Breathing
5.4.2 Breathing Detection
5.4.3 Embracing Frequency Diversity 5.5 Experiments and Evaluation
5.5.1 Implementation
5.5.2 Performance
5.6 Discussions and Future Works
5.6.1 Monitoring Breathing Rate
5.6.2 Expanding Detection Coverage via Space Diversity
5.6.3 Multiple Target Detection
5.6.4 Extending to Through-Wall Detection
5.7 Conclusions
6 Omnidirectional Human Detection with Wi-Fi
6.1 Introduction
6.2 Preliminaries
6.2.1 The Omnidirectional Passive Human Detection Problem 6.2.2 Signal Power Features
6.3 Feature Extraction and Classification
6.3.1 Sensitivity to Human Presence
6.3.2 Resistance to Environmental Dynamics 6.3.3 Modeling CFR Amplitude Features
6.3.4 Signature Classification
6.4 Human Detection
6.5 Performance 6.5.1 Experiment Methodology
6.5.2 Static Detection Performance
6.5.3 The Impact of Window Size
6.5.4 Mobile Detection Performance
6.6 Conclusion
Part IV Localization: Passive Human Localization with Wireless Signals
7 The Background of Passive Human Localization
7.1 Motivation
7.2 Related Work
8 Human Localization via Velocity Monitoring with Wi-Fi
8.1 Introduction
8.2 Preliminary 8.2.1 Channel State Information
8.2.2 From CSI to PLCR
8.2.3 Challenges for Tracking
8.3 Modeling of CSI-Mobility
8.3.1 The Ideal Model
8.3.2 The Real Model
8.4 PLCR Extraction
8.4.1 CSI Preprocessing
8.4.2 PLCR Extraction Algorithm 8.4.3 PLCR Sign Identification
8.5 Tracking Velocity & Location
8.5.1 Movement Detection
8.5.2 Initial Location Estimation 8.5.3 Successive Tracking
8.5.4 Trace Refinement
8.6 Evaluation
8.6.1 Experiment Methodology
8.6.2 Overall Performance
8.6.3 Parameter Study
8.7 Conclusion
9 Human Localization with a Single Wi-Fi Link
9.1 Introduction 9.2 Overview
9.3 Motion in CSI
9.3.1 CSI-Motion Model
9.3.2 Joint Multiple Parameter Estimation
9.3.3 CSI Cleaning
9.4 Localization
9.4.1 Path Matching
9.4.2 Range Refinement
9.4.3 Localization Model 9.5 Evaluation
9.5.1 Experiment M
