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_aYang, Zheng _4http://id.loc.gov/vocabulary/relators/aut _9681515 |
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| 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. |
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| 300 |
_a1 recurso en línea (XVIII, 234 páginas) _b139 ilustraciones, 92 ilustraciones a color |
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_2rdacontent _aTexto _btxt |
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_2rdamedia _aelectrónico _bc |
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_2rdacarrier _arecurso electrónico _bcr |
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_aarchivo de texto _bPDF |
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| 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 |
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_aQian, Kun _eautor _0(orcid)0000-0003-4971-8075 _1https://orcid.org/0000-0003-4971-8075 _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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| 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 |
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| 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 |
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_iPrinted edition: _z9789811656576 |
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_iPrinted edition: _z9789811656590 |
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_iPrinted edition: _z9789811656606 |
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_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) |
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