The BehaviorScope framework for enabling ambient assisted living |
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Authors: | Athanasios Bamis Dimitrios Lymberopoulos Thiago Teixeira Andreas Savvides |
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Affiliation: | (1) ENALAB, Yale University, 51 Prospect St. Room 000, New Haven, CT 06520, USA;(2) Networked Embedded Computing Lab, Microsoft Research, Redmond, USA |
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Abstract: | The in-house monitoring of elders using intelligent sensors is a very desirable service that has the potential of increasing
autonomy and independence while minimizing the risks of living alone. Because of this promise, the efforts of building such
systems have been spanning for decades, but there is still a lot of room for improvement. Driven by the recent technology
advances in many of the required components, in this article, we present a scalable framework for detailed behavior interpretation.
Our framework supports in-house monitoring of elders using an intelligent gateway and a set of cheap commercially available
sensors, in addition to more advanced camera-based human localization sensors and a client for GPS-enabled mobile phones that
provides monitoring when outdoors. In this article, we report our experiences and present our current progress in three main
components: sensors, middleware, and behavior interpretation mechanisms spanning from simple programmable rule-based alerts
to algorithms for extracting the temporal routines of individuals. |
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