Abstract
Pervasive computing is allowing healthcare to move from care by professionals in hospital to self-care, mobile care, and at-home care. The pervasive healthcare system, CARA(Context Aware Real-time Assistant), is designed to provide personalized healthcare services for chronic patients in a timely and appropriate manner by adapting the healthcare technology to fit in with normal activities of the elderly and working practices of the caregivers. This paper presents a fuzzy-logic based context model and a related context-aware reasoning middleware that provides a personalized, flexible and extensible reasoning framework for CARA. It provides context-aware data fusion and representation as well as inference mechanisms that support remote patient monitoring and caregiver notification. Noteworthy about the work is the use of fuzzy-logic to deal with the imperfections of the data, and the use of both structure and hierarchy to control the application of rules in the context reasoning system.
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© 2012 Springer-Verlag Berlin Heidelberg
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Yuan, B., Herbert, J. (2012). A Fuzzy-Based Context Modeling and Reasoning Framework for CARA Pervasive Healthcare. In: Donnelly, M., Paggetti, C., Nugent, C., Mokhtari, M. (eds) Impact Analysis of Solutions for Chronic Disease Prevention and Management. ICOST 2012. Lecture Notes in Computer Science, vol 7251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30779-9_38
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DOI: https://doi.org/10.1007/978-3-642-30779-9_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-30778-2
Online ISBN: 978-3-642-30779-9
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