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    A User Profile Ontology Based Approach for Assisting People with Dementia in Mobile Environments

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    kerry 2012 embc.pdf (807.2Kb)
    Date
    2012-08
    Author
    Skillen, Kerry-Louise;
    Chen, Liming;
    Nugent, Chris;
    Donnelly, Mark P.
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    Abstract
    Personalization and context-aware applications have attracted increasing amounts of attention over recent years due to the emergence of pervasive computing applications. Nevertheless, it still remains a challenge to meet the needs of users while they are on the move. This paper introduces a novel approach for providing personalized, context-aware assistance services for users in mobile environments. Central to the approach is the use of ontological user profile modeling which captures various characteristics of a user in order to create a unique set of profile information. In addition, user profiles can adapt to changing user behavior, thus enabling services to respond to evolving user needs and preferences. We describe the overall system architecture of the proposed approach with special emphasis being placed on the user profile modelling and its expected utility based on a typical use case scenario, i.e., using a smart-phone to address the problem of the outdoor mobility of a person with Dementia. A prototype based on the Android OS is used to illustrate the application. The use of everyday technology for a real world problem highlights the potential and utility of our approach.
    Description
    Citation : Skillen, K., Chen, L., Nugent, C.D. and Donnelly, M. (2012) A User Profile Ontology Based Approach for Assisting People with Dementia in Mobile Environments. The 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE EMBC 2012), San Diego, November 2012, pp. 6390 - 6393
    URI
    http://hdl.handle.net/2086/15353
    DOI
    https://doi.org/10.1109/embc.2012.6347456
    Research Group : CIIRG
    Research Institute : Cyber Technology Institute (CTI)
    Peer Reviewed : Yes
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    • School of Computer Science and Informatics [2968]

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