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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...

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Detalles Bibliográficos
Autores principales: Sapiezynski, Piotr, Stopczynski, Arkadiusz, Gatej, Radu, Lehmann, Sune
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4489206/
https://www.ncbi.nlm.nih.gov/pubmed/26132115
http://dx.doi.org/10.1371/journal.pone.0130824