4th International ICST Conference on Pervasive Computing Technologies for Healthcare

Research Article

User-driven design of an ontology-based ambient-aware continuous care platform

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  • @INPROCEEDINGS{10.4108/ICST.PERVASIVEHEALTH2010.8907,
        author={Femke Ongenae and Ann Ackaert and Filip De Turck and An Jacobs and Annelies Veys and Piet Verhoeve and Mieke Van Gils},
        title={User-driven design of an ontology-based ambient-aware continuous care platform},
        proceedings={4th International ICST Conference on Pervasive Computing Technologies for Healthcare},
        proceedings_a={PERVASIVEHEALTH},
        year={2010},
        month={6},
        keywords={User-driven Continuous care Ontology Ambient intelligent Self-learning},
        doi={10.4108/ICST.PERVASIVEHEALTH2010.8907}
    }
    
  • Femke Ongenae
    Ann Ackaert
    Filip De Turck
    An Jacobs
    Annelies Veys
    Piet Verhoeve
    Mieke Van Gils
    Year: 2010
    User-driven design of an ontology-based ambient-aware continuous care platform
    PERVASIVEHEALTH
    ICST
    DOI: 10.4108/ICST.PERVASIVEHEALTH2010.8907
Femke Ongenae1,*, Ann Ackaert1, Filip De Turck1, An Jacobs2,*, Annelies Veys2, Piet Verhoeve3,*, Mieke Van Gils4,*
  • 1: INTEC Broadband Communications Networks research Group (lBCN), Ghent University (UGENT) - IBBT, Gaston Crommenlaan 8, bus 201, 9050 Ghent, Belgium
  • 2: Research Centre for Studies on Media, Information and Telecommunication (SMIT), Brussels University (VUB) - IBBT, Pleinlaan2, 1050 Brussels, Belgium
  • 3: Televic N.V., Leo Bekaertlaan 1, 8870 Izegem, Belgium
  • 4: Centre for User Experience Research (CUD), K.U. Leuven - IBBT, Parkstraat 45, bus 3605, 3000 Leuven, Belgium
*Contact email: Femke.Ongenae@intec.ugent.be, An.jacobs@vub.ac.be, p.verhoeve@televic.com, Mieke.vangils@soc.kuleuven.be

Abstract

The ultimate ambient intelligent care room environment would be able to sense the needs and preferences of the patients and nurses and adapt itself accordingly. This implies an emerging demand for the integration and exploitation of heterogeneous information available from different technologies. Nowadays, the nurse is responsible for orchestrating all these technologies, which slows down the adoption rate. In this paper, a context-aware, ambient aware and pervasive framework is proposed that tackles this integration problem by using an ontology. Rules, defined on top of this ontology, implement algorithms to optimize and automate care tasks. To increase the acceptance of the new technology, a user-driven development process is used which involves the stakeholders in every step of the design of the ontology and algorithms. To make the framework adaptable to future needs, a self-learning component is introduced that detects trends in the execution of the Rules and adapts the system accordingly.