Commenced in January 2007
Paper Count: 30184
Automatic Light Control in Domotics using Artificial Neural Networks
Abstract:Home Automation is a field that, among other subjects, is concerned with the comfort, security and energy requirements of private homes. The configuration of automatic functions in this type of houses is not always simple to its inhabitants requiring the initial setup and regular adjustments. In this work, the ubiquitous computing system vision is used, where the users- action patterns are captured, recorded and used to create the contextawareness that allows the self-configuration of the home automation system. The system will try to free the users from setup adjustments as the home tries to adapt to its inhabitants- real habits. In this paper it is described a completely automated process to determine the light state and act on them, taking in account the users- daily habits. Artificial Neural Network (ANN) is used as a pattern recognition method, classifying for each moment the light state. The work presented uses data from a real house where a family is actually living.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1080110Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1626
 M. Weiser."The Computer for the Twenty-First Century.", In Scientific American,Sept. 1991.
 C. D. Kidd, R. J. Orr, G. D. Abowd, C. G. Atkeson, I. A. Essa, B. Maclntyre, E. Mynatt, T. E. Starner and W. Newstetter. "The Aware Home: A Living Laboratory for Ubiquitous Computing Research", Proc. of the Second International Workshop on Cooperative Buildings, 1999.
 D. J. Cook, M. Youngblood, III E. 0. Heierman, K. Gopalratnam, S. Rao, A. Litvin, and F. Khawaja, "MavHome: An agent-based smarthome", in Proc. of First IEEE International Conference on Pervasive Computing and Communications (PerCom'03), 2003, pp. 521-524.
 Philips Research - Technology. Avaliable:
[August 2008], http://www.research.philips.com/technologies/misc/homelab/index.html
 S. S. Intille, K. Larson, J. S. Beaudin, J. Nawyn, E. Munguia Tapia, and P. Kaushik, "A living laboratory for the design and evaluation of ubiquitous computing technologies", in Proc. of Conference of Human Factors in Computing Systems, April 02-07, 2005, Portland, OR, USA, pp.1941-1944.
 H. Kautz, 0. Etzioni, D. Fox, and D. Weld, "Foundations of assisted cognition systems", University of Washington, Computer Science Department, Technical Report, Tech. Rep., 2003.
 E. Munguia Tapia, S. S. Intille, and K. Larson, "Activity recognition in the home setting using simple and ubiquitous sensors", in Proceedings of PERVASIVE 2004, vol. LNCS 3001, A. Ferscha and F. Mattern, Eds. Berlin Heidelberg: Springer-Verlag, 2004, pp. 158-175
 F. Rivera-Illingworth, V. Callaghan, and H. Hagras, "Automated Discovery of Human Activities inside Pervasive Living Spaces", Proc. of 1st International Symposium on Pervasive Computing and Applications, 2006, pp. 77- 82.
 S. Luihr, G. West, and S. Venkatesh, "Recognition of emergent human behaviour in a smart home: A data mining approach", Pervasive Mob. Comput. 3, 2, pp.95-116, 2007.
 Huiru Zheng, Haiying Wang,Norman Black, "Human Activity Detection in Smart Home Environment with Self-Adaptive Neural Networks", in IEEE International Conference Networking, Sensing and Control, 2008., (ICNSC 2008), ISBN: 978-1-4244-1685-1, pp 1505-1510
 Polikar R.,"Pattern Recognition, In Wiley Encyclopedia of Biomedical Engineering", Ed. Akay, M., New York, NY: Wiley., 2006.
 A. Schmidt, "Implicit Human-Computer Interaction through Context." In International Symposium on Human Computer Interaction with Mobile Devices and Services (MobileHCI), 1999.
 Carlos Machado, José Mendes, "Sensors, Actuators and Communicators When Building a Ubiquitous System" in Proc. of IEEE ISIE 2007, in Vigo, Spain, 2007, ISBN:1-4244-0755-9 (p1530-1535).
 L.A. Shalabi, Z. Shaaban, B. Kasasbeh,"Data Mining: A Preprocessing Engine.", Journal of Computer Science 2:9 (2006) 735-735.
 Gurney, K. (1997),"An Introduction to Neural Networks", London: Routledge. ISBN 1-85728-673-1
 Michael J. A. Berry, Gordon S. Linoff, "Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management", 2nd Ed. ISBN: 978-0-471-47064-9
 Altman DG, Bland JM (1994). "Diagnostic tests. 1: Sensitivity and specificity". BMJ 308 (6943): 1552. PMID 8019315.