語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Smart wireless sensing = from IoT to...
~
Yang, Zheng.
FindBook
Google Book
Amazon
博客來
Smart wireless sensing = from IoT to AIoT /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Smart wireless sensing/ by Zheng Yang ...[et al.].
其他題名:
from IoT to AIoT /
其他作者:
Yang, Zheng.
出版者:
Singapore :Springer Singapore : : 2021.,
面頁冊數:
xviii, 234 p. :ill. (some col.), digital ;24 cm.
內容註:
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.
Contained By:
Springer Nature eBook
標題:
Wireless sensor networks. -
電子資源:
https://doi.org/10.1007/978-981-16-5658-3
ISBN:
9789811656583
Smart wireless sensing = from IoT to AIoT /
Smart wireless sensing
from IoT to AIoT /[electronic resource] :by Zheng Yang ...[et al.]. - Singapore :Springer Singapore :2021. - xviii, 234 p. :ill. (some col.), digital ;24 cm.
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:
1086182
Wireless sensor networks.
LC Class. No.: TK7872.D48
Dewey Class. No.: 006.25
Smart wireless sensing = from IoT to AIoT /
LDR
:03370nmm a2200337 a 4500
001
2253494
003
DE-He213
005
20211027202826.0
006
m d
007
cr nn 008maaau
008
220327s2021 si s 0 eng d
020
$a
9789811656583
$q
(electronic bk.)
020
$a
9789811656576
$q
(paper)
024
7
$a
10.1007/978-981-16-5658-3
$2
doi
035
$a
978-981-16-5658-3
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
TK7872.D48
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
006.25
$2
23
090
$a
TK7872.D48
$b
S636 2021
245
0 0
$a
Smart wireless sensing
$h
[electronic resource] :
$b
from IoT to AIoT /
$c
by Zheng Yang ...[et al.].
260
$a
Singapore :
$b
Springer Singapore :
$b
Imprint: Springer,
$c
2021.
300
$a
xviii, 234 p. :
$b
ill. (some col.), digital ;
$c
24 cm.
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
Wireless sensor networks.
$3
1086182
650
0
$a
Internet of things.
$3
2057703
650
1 4
$a
Cyber-physical systems, IoT.
$3
3386699
650
2 4
$a
User Interfaces and Human Computer Interaction.
$3
892554
650
2 4
$a
Computer System Implementation.
$3
892710
700
1
$a
Yang, Zheng.
$3
1531263
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer Nature eBook
856
4 0
$u
https://doi.org/10.1007/978-981-16-5658-3
950
$a
Computer Science (SpringerNature-11645)
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9410016
電子資源
11.線上閱覽_V
電子書
EB TK7872.D48
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入