Tracking Human Mobility Using WiFi Signals

@article{Sapiezynski2015TrackingHM,
  title={Tracking Human Mobility Using WiFi Signals},
  author={Piotr Sapiezynski and Arkadiusz Stopczynski and Radu Gatej and S. Lehmann},
  journal={PLoS ONE},
  year={2015},
  volume={10}
}
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 to WiFi access points based on a very small number of GPS samples and then use these access points as location beacons. Using just one GPS observation per day per person allows us to estimate the… Expand
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