Smart Wireless Sensing

£129.50

Smart Wireless Sensing

From IoT to AIoT

Cybernetics and systems theory Electronics engineering Systems analysis and design Human–computer interaction

Authors: Zheng Yang, Kun Qian, Chenshu Wu, Yi Zhang

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Language: English

Published by: Springer

Published on: 27th October 2021

Format: LCP-protected ePub

Size: 31 Mb

ISBN: 9789811656583


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.

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