• Login
    View Item 
    •   DORA Home
    • Faculty of Computing, Engineering and Media
    • School of Computer Science and Informatics
    • View Item
    •   DORA Home
    • Faculty of Computing, Engineering and Media
    • School of Computer Science and Informatics
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    A Knowledge-Driven Approach to Activity Recognition in Smart Homes

    View/Open
    chen_TKDE-0468-1005_R2_0108.pdf (823.8Kb)
    Date
    2012-06
    Author
    Chen, Liming;
    Nugent, Chris;
    Wang, H.
    Metadata
    Show attachments and full item record
    Abstract
    This paper introduces a knowledge-driven approach to real-time, continuous activity recognition based on multisensor data streams in smart homes. The approach goes beyond the traditional data-centric methods for activity recognition in three ways. First, it makes extensive use of domain knowledge in the life cycle of activity recognition. Second, it uses ontologies for explicit context and activity modeling and representation. Third and finally, it exploits semantic reasoning and classification for activity inferencing, thus enabling both coarse-grained and fine-grained activity recognition. In this paper, we analyze the characteristics of smart homes and Activities of Daily Living (ADL) upon which we built both context and ADL ontologies. We present a generic system architecture for the proposed knowledge-driven approach and describe the underlying ontology-based recognition process. Special emphasis is placed on semantic subsumption reasoning algorithms for activity recognition. The proposed approach has been implemented in a function-rich software system, which was deployed in a smart home research laboratory. We evaluated the proposed approach and the developed system through extensive experiments involving a number of various ADL use scenarios. An average activity recognition rate of 94.44 percent was achieved and the average recognition runtime per recognition operation was measured as 2.5 seconds.
    Description
    Citation : Chen, L., Nugent, C.D., Wang, H. (2012) A Knowledge-Driven Approach to Activity Recognition in Smart Homes, IEEE Transactions on Knowledge and Data Engineering, 24(6), pp.961-974.
    URI
    http://hdl.handle.net/2086/16298
    DOI
    https://doi.org/10.1109/tkde.2011.51
    ISSN : 1041-4347
    Research Group : CIIRG
    Research Institute : Cyber Technology Institute (CTI)
    Peer Reviewed : Yes
    Collections
    • School of Computer Science and Informatics [3008]

    Submission Guide | Reporting Guide | Reporting Tool | DMU Open Access Libguide | Take Down Policy | Connect with DORA
    DMU LIbrary
     

     

    Browse

    All of DORACommunities & CollectionsAuthorsTitlesSubjects/KeywordsResearch InstituteBy Publication DateBy Submission DateThis CollectionAuthorsTitlesSubjects/KeywordsResearch InstituteBy Publication DateBy Submission Date

    My Account

    Login

    Submission Guide | Reporting Guide | Reporting Tool | DMU Open Access Libguide | Take Down Policy | Connect with DORA
    DMU LIbrary