Activity Summarisation and Fall Detection in a Supportive Home Environment
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
RFID-based techniques for human-activity detection
Communications of the ACM - Special issue: RFID
Protecting your daily in-home activity information from a wireless snooping attack
UbiComp '08 Proceedings of the 10th international conference on Ubiquitous computing
Pervasive '09 Proceedings of the 7th International Conference on Pervasive Computing
The self-programming thermostat: optimizing setback schedules based on home occupancy patterns
Proceedings of the First ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings
Simultaneous tracking and activity recognition (STAR) using many anonymous, binary sensors
PERVASIVE'05 Proceedings of the Third international conference on Pervasive Computing
Using height sensors for biometric identification in multi-resident homes
Pervasive'10 Proceedings of the 8th international conference on Pervasive Computing
Feasibility of retrofitting centralized HVAC systems for room-level zoning
IGCC '12 Proceedings of the 2012 International Green Computing Conference (IGCC)
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Cyber-Physical Systems (CPSs) combine low-power radios with embedded processors in order to provide high-resolution sensing and actuation over a geographic area. This revolution has begun to deliver a new generation of engineering systems and scientific breakthroughs. One area in which CPSs can have a significant impact is in energy conservation through the intelligent control of systems. In this paper we present a CPS that enables a centralized Heating, Ventilation, and Air Conditioning (HVAC) system to be retrofitted to enable room-level conditioning of a residence. This is a compelling application due to residential HVAC systems accounting for over 15% of all U.S. energy usage, making it one of the nation's largest energy consumers. Also, it has all the aspects of a complex CPS: it uses sensors to detect room occupancy and indoor climate, it actuates hardware, and it requires complex control algorithms in order to maximize energy savings without damaging the HVAC equipment or discomforting the occupants. With an implementation using commercial off-the-shelf (COTS) components and a simple control algorithm we demonstrate an almost 15% energy saving in a residence over its existing centralized thermostat. With this demonstration, we pose a challenge to control theorists with the CPS community to refine our approach which could lead to even greater energy savings.