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_a10.1007/978-981-16-5658-3 _2doi |
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_a621.38 _223 |
100 | 1 |
_aYang, Zheng. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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245 | 1 | 0 |
_aSmart Wireless Sensing _h[electronic resource] : _bFrom IoT to AIoT / _cby Zheng Yang, Kun Qian, Chenshu Wu, Yi Zhang. |
250 | _a1st ed. 2021. | ||
264 | 1 |
_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2021. |
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300 |
_aXVIII, 234 p. 139 illus., 92 illus. in color. _bonline resource. |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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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 | _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. | ||
650 | 0 | _aCooperating objects (Computer systems). | |
650 | 0 | _aUser interfaces (Computer systems). | |
650 | 0 | _aHuman-computer interaction. | |
650 | 0 | _aComputer systems. | |
650 | 1 | 4 | _aCyber-Physical Systems. |
650 | 2 | 4 | _aUser Interfaces and Human Computer Interaction. |
650 | 2 | 4 | _aComputer System Implementation. |
700 | 1 |
_aQian, Kun. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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700 | 1 |
_aWu, Chenshu. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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700 | 1 |
_aZhang, Yi. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9789811656576 |
776 | 0 | 8 |
_iPrinted edition: _z9789811656590 |
776 | 0 | 8 |
_iPrinted edition: _z9789811656606 |
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-981-16-5658-3 |
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