Smart Wireless Sensing From IoT to AIoT 1st Edition by Zheng Yang, Kun Qian, Chenshu Wu, Yi Zhang 9811656584 9789811656583

 

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Product details:

ISBN 10: 9811656584 

ISBN 13: 9789811656583

Author: Zheng Yang; Kun Qian; Chenshu Wu; Yi Zhang

Perception of human beings has evolved from natural biosensor to powerful sensors and sensor networks. In sensor networks, trillions of devices are interconnected and sense a broad spectrum of contexts for human beings, laying the foundation of Internet of Things (IoT). However, sensor technologies have several limitations relating to deployment cost and usability, which render them unacceptable for practical use. Consequently, the pursuit of convenience in human perception necessitates a wireless, sensorless and contactless sensing paradigm. Recent decades have witnessed rapid developments in wireless sensing technologies, in which sensors detect wireless signals (such as acoustic, light, and radio frequency) originally designed for data transmission or lighting. By analyzing the signal measurements on the receiver end, channel characteristics can be obtained to convey the sensing results. Currently, significant effort is being devoted to employing the ambient Wi-Fi, RFID, Bluetooth, ZigBee, and television signals for smart wireless sensing, eliminating the need for dedicated sensors and promoting the prospect of the Artificial Intelligence of Things (AIoT). This book provides a comprehensive and in-depth discussion of wireless sensing technologies. Specifically, with a particular focus on Wi-Fi-based sensing for understanding human behavior, it adopts a top-down approach to introduce three key topics: human detection, localization, and activity recognition. Presenting the latest advances in smart wireless sensing based on an extensive review of state-of-the-art research, it promotes the further development of this area and also contributes to interdisciplinary research.

Table of contents:

Part I. The Background

1. Wireless Sensing Overview

2. Understanding of Channel State Information

Part II. Detection: Passive Human Detection with Wireless Signals

3. Passive Human Detection with Wi-Fi

4. Passive Detection of Moving Targets with Dynamic Speed Using Wi-Fi

5. Passive Detection of Moving and Stationary Human with Wi-Fi

Part III. Localization: Passive Human Localization with Wireless Signals

6. Decimeter-Level Passive Human Tracking with Multiple Wi-Fi Links

7. Decimeter-Level Passive Human Tracking with a Single Wi-Fi Link

Part IV. Recognition: Passive Human Activity Recognition with Wireless Signals

8. Inferring Motion Direction with Wi-Fi

9. Human Gesture Recognition with Wi-Fi

10. Human Gait Recognition with Wi-Fi

Part V. Conclusions

11. Research Summary and Future Directions

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Tags: Zheng Yang, Kun Qian, Chenshu Wu, Yi Zhang, Wireless