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...
| Autors principals: | , , , |
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| Altres autors: | |
| Format: | Article |
| Idioma: | en_US |
| Publicat: |
Public Library of Science
2015
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| Accés en línia: | http://hdl.handle.net/1721.1/98169 |