Conference Paper

A Middleware Framework for Ambiguous Context Mediation in Smart Healthcare Application

Univ. of Texas at Arlington, Arlington
DOI: 10.1109/WIMOB.2007.4390866 Conference: Third IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2007, White Plains, New York, USA, 8-10 October 2007, Proceedings
Source: DBLP

ABSTRACT

Ubiquitous healthcare applications envision future computing and networking environments as being filled with sensors that can determine various types of contexts of its inhabitants, such as location, activity and vital signs. While such information is useful in providing context-sensitive services to the inhabitants to promote intelligent independent living, however in reality, both sensed and interpreted contexts may often be ambiguous. Thus, a challenge facing the development of realistic and deployable context-aware services is the ability to handle ambiguous contexts to prevent hazardous situations. In this paper, we propose a framework which supports efficient context-aware data fusion for healthcare applications that assume contexts could be ambiguous. Our framework provides a systematic approach to derive context fragments, and deal with context ambiguity in a probabilistic manner. We also incorporate the ability to represent contexts within the applications, and the ability to easily compose rules to mediate ambiguous contexts. Through simulation and analysis, we demonstrate the effectiveness of our proposed framework for monitoring elderly people in the smart home environment.

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Available from: Sajal K. Das
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    • "A number of middleware has been designed through different approaches that include databaseinspired approach, event-based or message oriented approach, modular based approach, application based and virtual machine based approach [11]. Context aware middleware framework proposed in [12] is an attempt to minimize the ambiguity in health care applications. I- Living [13] takes into account multi radios is the closest to our framework with respect to the use of multi radios for the assistance of elderly people at home however, it doesn't incorporates the service provisioning mechanism. "
    Dataset: UTM Paper

    Full-text · Dataset · Nov 2014
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    • "We use the space-based model as our underlying context model, which consists of context attribute, context state and situation space. To facilitate our active fusion model, we extend the basic model with QoC attributes [29]. The extended model incorporates various intuitions for context inference to achieve a better fusion result. "
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    ABSTRACT: Future pervasive computing applications are envisioned to adapt the applications’ behaviors by utilizing various contexts of an environment and its users. Such context information may often be ambiguous and also heterogeneous, which make the delivery of unambiguous context information to real applications extremely challenging. Thus, a significant challenge facing the development of realistic and deployable context-aware services for pervasive computing applications is the ability to deal with these ambiguous contexts. In this paper, we propose a resource optimized quality assured context mediation framework based on efficient context-aware data fusion and semantic-based context delivery. In this framework, contexts are first fused by an active fusion technique based on Dynamic Bayesian Networks and ontology, and further mediated using a composable ontological rule-based model with the involvement of users or application developers. The fused context data are then organized into an ontology-based semantic network together with the associated ontologies in order to facilitate efficient context delivery. Experimental results using SunSPOT and other sensors demonstrate the promise of this approach.
    Full-text · Article · Feb 2010 · Pervasive and Mobile Computing
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    • "However none of them consider a formal context fusion mechanism which can fuse high-level context for different application in the same way so that the common module for fusing context can be viewed as a shared, highly reusable infrastructure. By eliminating the simplifying assumption that all contexts are certain , a context-aware data fusion algorithm based on dynamic Bayesian network to mediate ambiguous context was designed in [16]. But an ontological rule based approach using semantic web technology for further reduction of context ambiguity with applications to context-aware healthcare services, has not been considered before. "
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    ABSTRACT: Ubiquitous (or smart) healthcare applications envision sensor rich computing and networking environments that can capture various types of contexts of patients (or inhabitants of the environment), such as their location, activities and vital signs. Such context information is useful in providing health related and wellness management services in an intelligent way so as to promote independent living. However, in reality, both sensed and interpreted contexts may often be ambiguous, leading to fatal decisions if not properly handled. Thus, a significant challenge facing the development of realistic and deployable context-aware services for healthcare applications is the ability to deal with ambiguous contexts to prevent hazardous situations. In this paper, we propose a quality assured ontology-driven context mediation framework, based on efficient context-aware data fusion using resource constrained sensor network. The proposed framework provides a systematic approach based on dynamic Bayesian network to derive context fragments and deal with context ambiguity in a probabilistic manner. It has the ability to represent contexts according to the applications' ontology and easily composable ontological rules to mediate ambiguous contexts. We have also implemented a demonstration of the use of our model using semantic web language. Through simulation, we demonstrate the effectiveness of our proposed framework.
    Full-text · Conference Paper · Jan 2008
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