國立虎尾科技大學 |

Smart Wireless Sensing = From IoT to AIoT /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Smart Wireless Sensing/ by Zheng Yang, Kun Qian, Chenshu Wu, Yi Zhang.
Reminder of title:	From IoT to AIoT /
Author:	Yang, Zheng.
other author:	Qian, Kun.
Description:	XVIII, 234 p. 139 illus., 92 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Computer engineering. -
Online resource:	https://doi.org/10.1007/978-981-16-5658-3
ISBN:	9789811656583

Smart Wireless Sensing = From IoT to AIoT /
Yang, Zheng.

Smart Wireless SensingFrom IoT to AIoT /[electronic resource] :by Zheng Yang, Kun Qian, Chenshu Wu, Yi Zhang. - 1st ed. 2021. - XVIII, 234 p. 139 illus., 92 illus. in color.online resource.

Chapter 1. Wireless Sensing Overview -- Chapter 2. Understanding of Channel State Information -- Chapter 3. Passive Human Detection with Wi-Fi -- Chapter 4. Passive Detection of Moving Targets with Dynamic Speed using Wi-Fi -- Chapter 5."Passive Detection of Moving and Stationary Human with Wi-Fi" -- Chapter 6."Decimeter-Level Passive Human Tracking with MultipleWi-Fi Links" -- Chapter 7."Decimeter-Level Passive Human Tracking with a SingleWi-Fi Link" -- Chapter 8. Inferring Motion Direction with Wi-Fi -- Chapter 9. Human Gesture Recognition with Wi-Fi -- Chapter 10. Human Gait Recognition with Wi-Fi -- Chapter 11. Research Summary and Future Directions.

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.

ISBN: 9789811656583

Standard No.: 10.1007/978-981-16-5658-3doiSubjects--Topical Terms:

569006
Computer engineering.

LC Class. No.: TK7885-7895

Dewey Class. No.: 621.38

Smart Wireless Sensing = From IoT to AIoT /
LDR:03772nam a22004215i 4500 001 1056702
003 DE-He213
005 20211027202826.0
007 cr nn 008mamaa
008 220103s2021 si | s |||| 0|eng d
020 $a 9789811656583 $9 978-981-16-5658-3
024 7 $a 10.1007/978-981-16-5658-3 $2 doi
035 $a 978-981-16-5658-3
050 4 $a TK7885-7895
050 4 $a TK5105.8857
072 7 $a THR $2 bicssc
072 7 $a TEC007000 $2 bisacsh
072 7 $a THR $2 thema
072 7 $a GPFC $2 thema
082 0 4 $a 621.38 $2 23
100 1 $a Yang, Zheng. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 782902
245 1 0 $a Smart Wireless Sensing $h [electronic resource] : $b From IoT to AIoT / $c by Zheng Yang, Kun Qian, Chenshu Wu, Yi Zhang.
250 $a 1st ed. 2021.
264 1 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2021.
300 $a XVIII, 234 p. 139 illus., 92 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
505 0 $a Chapter 1. Wireless Sensing Overview -- Chapter 2. Understanding of Channel State Information -- Chapter 3. Passive Human Detection with Wi-Fi -- Chapter 4. Passive Detection of Moving Targets with Dynamic Speed using Wi-Fi -- Chapter 5."Passive Detection of Moving and Stationary Human with Wi-Fi" -- Chapter 6."Decimeter-Level Passive Human Tracking with MultipleWi-Fi Links" -- Chapter 7."Decimeter-Level Passive Human Tracking with a SingleWi-Fi Link" -- Chapter 8. Inferring Motion Direction with Wi-Fi -- Chapter 9. Human Gesture Recognition with Wi-Fi -- Chapter 10. Human Gait Recognition with Wi-Fi -- Chapter 11. Research Summary and Future Directions.
520 $a 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.
650 0 $a Computer engineering. $3 569006
650 0 $a Internet of things. $3 1023130
650 0 $a Embedded computer systems. $3 562313
650 0 $a User interfaces (Computer systems). $3 1253526
650 0 $a Architecture, Computer. $3 1255731
650 1 4 $a Cyber-physical systems, IoT. $3 1226036
650 2 4 $a User Interfaces and Human Computer Interaction. $3 669793
650 2 4 $a Computer System Implementation. $3 669803
700 1 $a Qian, Kun. $e editor. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1357390
700 1 $a Wu, Chenshu. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1208229
700 1 $a Zhang, Yi. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1148623
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9789811656576
776 0 8 $i Printed edition: $z 9789811656590
776 0 8 $i Printed edition: $z 9789811656606
856 4 0 $u https://doi.org/10.1007/978-981-16-5658-3
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)