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An Ontology-based Context-aware System for Smart Homes: E-care@home
Örebro University, School of Science and Technology. (AASS, Machine Perception and Interaction Lab)ORCID iD: 0000-0002-4001-2087
Örebro University, School of Science and Technology. (AASS, Machine Perception and Interaction Lab)ORCID iD: 0000-0002-2385-9470
Örebro University, School of Science and Technology. (AASS)
Örebro University, School of Science and Technology. (AASS, Machine Perception and Interaction Lab)ORCID iD: 0000-0002-4368-4751
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2017 (English)In: Sensors, E-ISSN 1424-8220, Vol. 17, no 7, article id 1586Article in journal, Editorial material (Refereed) Published
Abstract [en]

Smart home environments have a significant potential to provide for long-term monitoring of users with special needs in order to promote the possibility to age at home. Such environments are typically equipped with a number of heterogeneous sensors that monitor both health and environmental parameters. This paper presents a framework called E-care@home, consisting of an IoT infrastructure, which provides information with an unambiguous, shared meaning across IoT devices, end-users, relatives, health and care professionals and organizations. We focus on integrating measurements gathered from heterogeneous sources by using ontologies in order to enable semantic interpretation of events and context awareness. Activities are deduced using an incremental answer set solver for stream reasoning. The paper demonstrates the proposed framework using an instantiation of a smart environment that is able to perform context recognition based on the activities and the events occurring in the home.

Place, publisher, year, edition, pages
Basel: MDPI AG , 2017. Vol. 17, no 7, article id 1586
Keywords [en]
ambient assisted living; context awareness; Internet of Things; ontologies; activity recognition; smart homes
National Category
Computer Systems
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:oru:diva-58600DOI: 10.3390/s17071586ISI: 000407517600125Scopus ID: 2-s2.0-85021911117OAI: oai:DiVA.org:oru-58600DiVA, id: diva2:1120808
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E-Care@Home
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Knowledge FoundationAvailable from: 2017-07-07 Created: 2017-07-07 Last updated: 2022-02-10Bibliographically approved

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Alirezaie, MarjanRenoux, JenniferKöckemann, UweKristoffersson, AnnicaKarlsson, LarsLoutfi, Amy

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