Telos: enabling ultra-low power wireless research
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Sensing from the basement: a feasibility study of unobtrusive and low-cost home activity recognition
UIST '06 Proceedings of the 19th annual ACM symposium on User interface software and technology
NAWMS: nonintrusive autonomous water monitoring system
Proceedings of the 6th ACM conference on Embedded network sensor systems
Pervasive '08 Proceedings of the 6th International Conference on Pervasive Computing
Design and implementation of a high-fidelity AC metering network
IPSN '09 Proceedings of the 2009 International Conference on Information Processing in Sensor Networks
HydroSense: infrastructure-mediated single-point sensing of whole-home water activity
Proceedings of the 11th international conference on Ubiquitous computing
ViridiScope: design and implementation of a fine grained power monitoring system for homes
Proceedings of the 11th international conference on Ubiquitous computing
UbiComp '07 Proceedings of the 9th international conference on Ubiquitous computing
Proceedings of the 12th ACM international conference on Ubiquitous computing
Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems
Contactless sensing of appliance state transitions through variations in electromagnetic fields
Proceedings of the 2nd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Building
Granger causality analysis on IP traffic and circuit-level energy monitoring
Proceedings of the 2nd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Building
GasSense: appliance-level, single-point sensing of gas activity in the home
Pervasive'10 Proceedings of the 8th international conference on Pervasive Computing
Improving device-level electricity consumption breakdowns in private households using ON/OFF events
ACM SIGBED Review - Special Issue on the 3rd International Workshop on Networks of Cooperating Objects (CONET 2012)
WaterSense: water flow disaggregation using motion sensors
Proceedings of the Third ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings
Circulo: Saving Energy with Just-In-Time Hot Water Recirculation
Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings
The Energy-Water Nexus in Campuses
Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings
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The monitoring of electrical and water fixtures in the home is being applied for a variety of "smart home" applications, such as recognizing activities of daily living (ADLs) or conserving energy or water usage. Fixture monitoring techniques generally fall into two categories: fixture recognition and fixture disaggregation. However, existing techniques require users to explicitly identify each individual fixture, either by placing a sensor on it or by manually creating training data for it. In this paper, we present a new fixture discovery system that automatically infers the existence of electrical and water fixtures in the home. We call the system FixtureFinder. The basic idea is to use data fusion between the smart meters and other sensors or infrastructure already in the home, such as the home security or automation system, and to find repeating patterns in the fused data stream. To evaluate FixtureFinder, we deployed the system into 4 different homes for 7-10 days of data collection. Our results show that FixtureFinder is able to identify and differentiate major light and water fixtures in less than 10 days, including multiple copies of light bulbs and sinks that have identical power/water profiles.