Abstract
The term “Smart Home” refers to a home equipped with sensors, which observe the environment and the actions of its occupants, and actuators, which automatically control the home ambience and devices. A Smart Home can provide a variety of services to its occupants, based on information gleaned from the data recorded by the sensors and using the automation afforded by the actuators. Our work in the Smart-CondoTM project has been motivated by healthcare concerns: we aim to support people with chronic conditions to live independently longer. To that end, our first objective has been to develop an accurate location- and activity-recognition method. In this paper, we describe the Smart-CondoTM middleware architecture, focusing on its occupant-localization feature. We report on simulation experiments with three sensor placements, one of which was deployed at a recent indoor localization competition. Finally, we draw a comparison between the simulated and real-world results, showing the potential practical significance of our methodology.
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Vlasenko, I., Vosoughpour Yazdchi, M., Ganev, V., Nikolaidis, I., Stroulia, E. (2013). The Smart-CondoTMInfrastructure and Experience. In: Chessa, S., Knauth, S. (eds) Evaluating AAL Systems Through Competitive Benchmarking. EvAAL 2012. Communications in Computer and Information Science, vol 362. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37419-7_6
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DOI: https://doi.org/10.1007/978-3-642-37419-7_6
Publisher Name: Springer, Berlin, Heidelberg
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