Abstract
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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Enviroment canada weather office (2010), http://text.weatheroffice.gc.ca/canada_e.html
Sunrise and sunset calculator (2010), http://www.timeanddate.com/worldclock/sunrise.html
Abascal, J.: Ambient intelligence for people with disabilities and elderly people. In: ACM’s Special Interest Group on Computer-Human Interaction (SIGCHI), Ambient Intelligence for Scientific Discovery (AISD) Workshop, Vienna. Citeseer (2004)
Cook, D., Youngblood, M., Heierman III, E., Gopalratnam, K., Rao, S., Litvin, A., Khawaja, F.: Mavhome: An agent-based smart home. In: Proceedings of the First IEEE International Conference on Pervasive Computing and Communications (PerCom 2003), pp. 521–524. IEEE, Los Alamitos (2003)
Das, S., Cook, D., Battacharya, A., Heierman III, E., Lin, T.: The role of prediction algorithms in the mavhome smart home architecture. IEEE Wireless Communications 9(6), 77–84 (2003)
Intille, S., Larson, K., Tapia, E., Beaudin, J., Kaushik, P., Nawyn, J., Rockinson, R.: Using a live-in laboratory for ubiquitous computing research. Pervasive Computing 2006(4), 349–365 (2006)
Mohamaddoust, R., Haghighat, A., Kafash, M., Sharif, M.: Designing the lighting control system based on wsn with optimization of decision making algorithm. In: The International Conference on Computational Intelligence and Communication Networks, CICN 2010 (2010)
Moslehi, K., Kumar, R.: Vision for a self-healing power grid. ABB Review, 21–25 (2006)
Moslehi, K., Kumar, R.: Smart grid-a reliability perspective. In: Innovative Smart Grid Technologies (ISGT 2010), pp. 1–8. IEEE, Los Alamitos (2010)
Raad, M., Yang, L.: A ubiquitous smart home for elderly. Information Systems Frontiers 11(5), 529–536 (2009)
Tapia, E., Intille, S., Larson, K.: Activity recognition in the home using simple and ubiquitous sensors. In: Pervasive Computing pp. 158–175 (2004)
Wilson, D., Wolfe, B., Atkeson, C.: Using many simple sensors for automatic monitoring in the home. Robotics Institute, Carnegie Mellon (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Makonin, S., Popowich, F. (2011). An Intelligent Agent for Determining Home Occupancy Using Power Monitors and Light Sensors. In: Abdulrazak, B., Giroux, S., Bouchard, B., Pigot, H., Mokhtari, M. (eds) Toward Useful Services for Elderly and People with Disabilities. ICOST 2011. Lecture Notes in Computer Science, vol 6719. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21535-3_33
Download citation
DOI: https://doi.org/10.1007/978-3-642-21535-3_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21534-6
Online ISBN: 978-3-642-21535-3
eBook Packages: Computer ScienceComputer Science (R0)