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Tracking Human Mobility Using WiFi Signals

We study six months of human mobility data, including WiFi and GPS traces recorded with high temporal resolution, and find that time series of WiFi scans contain a strong latent location signal. In fact, due to inherent stability and low entropy of human mobility, it is possible to assign location t...

詳細記述

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書誌詳細
出版年:PLoS One
主要な著者: Sapiezynski, Piotr, Stopczynski, Arkadiusz, Gatej, Radu, Lehmann, Sune
フォーマット: Artigo
言語:Inglês
出版事項: Public Library of Science 2015
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC4489206/
https://ncbi.nlm.nih.gov/pubmed/26132115
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0130824
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