Context aware computing attains environments monitoring by means of sensors in order to provide relevant information or services according to the identified context. Nowadays, ad hoc wireless sensor networks for medical purposes are playing an increasing role within healthcare. Specifically, Body Sensor Networks (BSN) and Wireless Sensor Network, are being designed for prophylactic and follow-up monitoring of patients e. g., at home, at hospital, and so on. This work defines a framework aimed at proactively providing personalized healthcare services by performing sensor data analysis in order to recognize specific user's context. In particular, the approach is strongly based on the synergy between semantic formalisms and soft computing techniques. Semantic Web formalisms are exploited to model healthcare services and context. Soft computing techniques are applied in order to support activity of unsupervised context analysis and semantic service matchmaking. Specifically, Fuzzy Logic enable us to automatically characterize the context and to consequently find the set of healthcare services among the available ones that approximately meet the user's context. Experimental results shows performance in terms of services matchmaking.

Enhanced Healthcare Environment by Means of Proactive Context Aware Service Discovery

FENZA, GIUSEPPE;FURNO, DOMENICO;LOIA, Vincenzo
2011

Abstract

Context aware computing attains environments monitoring by means of sensors in order to provide relevant information or services according to the identified context. Nowadays, ad hoc wireless sensor networks for medical purposes are playing an increasing role within healthcare. Specifically, Body Sensor Networks (BSN) and Wireless Sensor Network, are being designed for prophylactic and follow-up monitoring of patients e. g., at home, at hospital, and so on. This work defines a framework aimed at proactively providing personalized healthcare services by performing sensor data analysis in order to recognize specific user's context. In particular, the approach is strongly based on the synergy between semantic formalisms and soft computing techniques. Semantic Web formalisms are exploited to model healthcare services and context. Soft computing techniques are applied in order to support activity of unsupervised context analysis and semantic service matchmaking. Specifically, Fuzzy Logic enable us to automatically characterize the context and to consequently find the set of healthcare services among the available ones that approximately meet the user's context. Experimental results shows performance in terms of services matchmaking.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11386/4521064
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