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An Ontology-Based ADL Recognition Method for Smart Homes

  • Conference paper
Communication and Networking (FGCN 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 266))

Abstract

This paper presents a method for recognition of Activities of Daily Living (ADLs) in smart homes. Recognition of activities of daily living and tracking them can provide unprecedented opportunities for health monitoring and assisted living applications, especially for elderly and people with memory deficits. We present ARoM (ADL Recognition Method) that discovers and monitors patterns of ADLs in sensor equipped smart homes. The ARoM is consists of two components: smart home management monitoring and ADL pattern monitoring. This paper studies on the ontology base and the reasoning that are main parts of ADL pattern monitoring. The ontology base supports the semantic discovery for location, device, environments domains in smart homes. The reasoning system discovers the activity for a person and the appropriate service for a present situation. On detection of significant changes of context, the reasoning is triggered. We design the ontology model for ARoM and implement the prototype system of ARoM by using Protege and Jess tools.

This work was supported by research grants from the Catholic University of Daegu in 2011.

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Author information

Authors and Affiliations

  1. School of Computer and Information Communication Engineering, Catholic University of Daegu, Gyeongbuk, Republic of Korea

    Ihn-Han Bae & Hae Geun Kim

Authors
  1. Ihn-Han Bae
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  2. Hae Geun Kim
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Editor information

Editors and Affiliations

  1. Multimedia Engineering Department, Hannam University, 133 Ojeong-dong, Daeduk-gu, Daejeon, Korea

    Tai-hoon Kim

  2. The Ohio State University, 470 Hitchcock Hall, 2070 Neil Avenue, 43210-1275, Columbus, OH, USA

    Hojjat Adeli

  3. National Chiao Tung University, Hsinchu, Taiwan, R.O.C.

    Wai-chi Fang

  4. University of Western Macedonia, Kozani, Greece

    Thanos Vasilakos

  5. Jet Propulsion Laboratory/Caltech, NASA, 4800 Oak Grove Drive, 91109, Pasadena, CA, USA

    Adrian Stoica

  6. National Technical University of Athens, Heroon Politechniou 9, Zographou T.K., 157 73, Athens, Greece

    Charalampos Z. Patrikakis

  7. The Computing Laboratory, University of Kent, CT2 7NF, Canterbury, UK

    Gansen Zhao

  8. Universidad Complutense de Madrid, 28040, Madrid, Spain

    Javier García Villalba

  9. The University of Alabama, Tuscaloosa, AL, USA

    Yang Xiao

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© 2011 Springer-Verlag Berlin Heidelberg

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Bae, IH., Kim, H.G. (2011). An Ontology-Based ADL Recognition Method for Smart Homes. In: Kim, Th., et al. Communication and Networking. FGCN 2011. Communications in Computer and Information Science, vol 266. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27201-1_42

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  • DOI: https://doi.org/10.1007/978-3-642-27201-1_42

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27200-4

  • Online ISBN: 978-3-642-27201-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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