Systems, Man & Cybernetics - April 2016 - 15

Quality and
Context-Aware
Smart Health Care

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Evaluating the Cost-Quality Dynamics

by Nirmalya Roy, Christine Julien,
Archan Misra, and Sajal K. Das

M

any emerging pervasive health-care
applications require the determination of a variety of context attributes
of an individual's activities and medical parameters and her surrounding
environment. Context is a high-level representation of
an entity's state, which captures activities, relationships, capabilities, etc. In practice, high-level context
measures are often difficult to sense from a single data
source and must instead be inferred using multiple

Digital Object Identifier 10.1109/MSMC.2015.2501163
Date of publication: 23 August 2016

2333-942X/16©2016IEEE

sensors embedded in the environment. A key challenge
in deploying context-driven health-care applications
involves energy-efficient determination or inference of
high-level context information from low-level sensor
data streams. Because this abstraction has the potential to reduce the quality of the context information, it
is also necessary to model the tradeoff between the
cost of sensor data collection and the quality of the
inferred context. This article describes a model of context inference in pervasive computing, the associated
research challenges, and the significant practical
impact of intelligent use of such context in pervasive
health-care environments.
Ap ri l 2016

IEEE SyStEmS, man, & CybErnEtICS magazInE

15



Table of Contents for the Digital Edition of Systems, Man & Cybernetics - April 2016

Systems, Man & Cybernetics - April 2016 - Cover1
Systems, Man & Cybernetics - April 2016 - Cover2
Systems, Man & Cybernetics - April 2016 - 1
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Systems, Man & Cybernetics - April 2016 - Cover3
Systems, Man & Cybernetics - April 2016 - Cover4
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