Estimating indoor crowd density and movement behavior using WiFi Sensing
Estimating indoor crowd density and movement behavior using WiFi Sensing
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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The fact that almost every person owns a smartphone device that can be precisely located is both empowering and worrying. If methods for accurate tracking of devices (and their owners) via WiFi probing are developed in a responsible way, they could be applied in many different fields, from data security to urban planning. Numerous approaches to dat...
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Estimating indoor crowd density and movement behavior using WiFi Sensing
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TN_cdi_proquest_journals_2684773630
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2684773630
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E-ISSN
2331-8422
