This paper tackles the problem of supporting independent living and well-being for people that live in their homes and have no critical chronic condition. The paper assumes the presence of a monitoring system equipped with a pervasive sensor network and a non-monotonic reasoning engine. The rich set of sensors that can be used for monitoring in home environments and their sheer number make it quite complex to provide a correct interpretation of collected data for a particular patient. For this reason, we introduce a logic-based context model for situation assessment combined with high level declarative feedback policy specification, and we use logic programming techniques to reason about different pieces of knowledge for prevention. © 2010 - IOS Press and the authors. All rights reserved.
CITATION STYLE
Mileo, A., Merico, D., & Bisiani, R. (2010). Support for context-aware monitoring in home healthcare. Journal of Ambient Intelligence and Smart Environments, 2(1), 49–66. https://doi.org/10.3233/AIS-2010-0052
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