ABSTRACT
This poster presents the homeset algorithm, a lightweight approach to estimate occupancy schedules of private households. The algorithm relies on the mobile phones of households' occupants to collect Wi-Fi scans. The scans are then used to determine if occupants are at home or not. The algorithm operates in an autonomous fashion using only information available locally on the mobile phones. We validate our approach using a data set from the Nokia Lausanne Data Collection Campaign.
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- W. Kleiminger, C. Beckel, A. Dey, and S. Santini. Inferring Household Occupancy Patterns from Unlabelled Sensor Data. Technical Report 795, ETH Zurich, Department of Computer Science, Sept. 2013.Google Scholar
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- S. Scellato, M. Musolesi, C. Mascolo, V. Latora, and A. T. Campbell. NextPlace: A Spatio-Temporal Prediction Framework for Pervasive Systems. In Proc. of the 9th Intl. Conference on Pervasive Computing (Pervasive'11), June 2011. Google ScholarDigital Library
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