000 04455nam a22004455i 4500
999 _c361665
_d361665
_x1
001 361665
003 ES-MaUEC
005 20230102121417.0
006 a||||fo|||| 00| 0
007 cr nn nnnaamaa
008 211027s2021 si | s |||| 0|eng d
020 _a9789811656583
024 7 _a10.1007/978-981-16-5658-3
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aTK7872 .D48
_b2021 EB
100 1 _aYang, Zheng
_4http://id.loc.gov/vocabulary/relators/aut
_9681515
245 1 0 _aSmart Wireless Sensing
_bFrom IoT to AIoT
_cby Zheng Yang, Kun Qian, Chenshu Wu, Yi Zhang.
250 _aFirst edition 2021
264 1 _aSingapore
_bSpringer International Publising
_bSpringer International Publising
_c2021.
300 _a1 recurso en línea (XVIII, 234 páginas)
_b139 ilustraciones, 92 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _aarchivo de texto
_bPDF
490 0 _aComputer Science (SpringerNature-11645)
490 0 _aComputer Science (R0) (SpringerNature-43710)
505 0 _aChapter 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 3 _aPerception 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.
988 _aSpringer_Computer_2021
650 7 _2embne
_aRedes de sensores inalámbricas
_9441179
700 1 _aQian, Kun
_eautor
_0(orcid)0000-0003-4971-8075
_1https://orcid.org/0000-0003-4971-8075
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aWu, Chenshu
_eautor
_0(orcid)0000-0002-9700-4627
_1https://orcid.org/0000-0002-9700-4627
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aZhang, Yi
_eautor
_0(orcid)0000-0002-5179-3202
_1https://orcid.org/0000-0002-5179-3202
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
776 0 8 _iPrinted edition:
_z9789811656576
776 0 8 _iPrinted edition:
_z9789811656590
776 0 8 _iPrinted edition:
_z9789811656606
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-5658-3
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b02/2022
_dz
_eh
_zSI