Poster Abstract: Using Unlabeled Wi-Fi Scan Data to Discover Occupancy Patterns of Private Households
نویسندگان
چکیده
This paper introduces the homeset algorithm, a novel approach to estimate occupancy schedules of private households from sensor data. The algorithm relies on unlabeled Wi-Fi scans and anonymized GPS traces collected by the mobile phones of household occupants and is able to autonomously determine the reliability of the computed schedules. We validate our approach using a data set from the Nokia Lausanne Data Collection Campaign that contains mobile phone traces of 38 participants over more than a year.
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