Tracking Human Mobility Using WiFi Signals

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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Bibliographic Details
Main Authors: Sapiezynski, Piotr (Author), Stopczynski, Arkadiusz (Contributor), Gatej, Radu (Author), Lehmann, Sune (Author)
Other Authors: Massachusetts Institute of Technology. Media Laboratory (Contributor), Program in Media Arts and Sciences (Massachusetts Institute of Technology) (Contributor)
Format: Article
Language:English
Published: Public Library of Science, 2015-08-21T11:50:12Z.
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