MavHome: An Agent-Based Smart Home
PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
A ubiquitous smart home for elderly
Information Systems Frontiers
Designing the Lighting Control System Based on WSN with Optimization of Decision Making Algorithm
CICN '10 Proceedings of the 2010 International Conference on Computational Intelligence and Communication Networks
Using a live-in laboratory for ubiquitous computing research
PERVASIVE'06 Proceedings of the 4th international conference on Pervasive Computing
The role of prediction algorithms in the MavHome smart home architecture
IEEE Wireless Communications
Elements of consumption: an abstract visualization of household consumption
SG'11 Proceedings of the 11th international conference on Smart graphics
Indoor location tracking based on a discrete event model
ICOST'12 Proceedings of the 10th international smart homes and health telematics conference on Impact Ananlysis of Solutions for Chronic Disease Prevention and Management
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Smart homes of the future will have a number of different types of sensors. What types of sensors and how they will be used depends on the behaviour needed from the smart home. Using the sensors to automatically determine if a home is occupied can lead to a wide range of benefits. For example, it could trigger a change in the thermostat setting to save money, or even a change in security monitoring systems. Our prototype Home Occupancy Agent (HOA), which we present in this paper, uses a rule based system that monitors power consumption from meters and ambient light sensor readings in order to determine occupancy.