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Improving Activity Recognition in Smart Environments with Ontological Modeling

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Smart Homes and Health Telematics (ICOST 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8456))

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Abstract

The problem of activity recognition in smart environments has produced multiple divergent paths of research in an attempt to improve the usability and usefulness of smart environments. In this paper we merge these research paths by defining a method for mapping smart environment sensor activities into an ontologically defined semantic feature space. We show that by using this approach we are able to improve activity recognition by between 5–20 %.

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Notes

  1. 1.

    http://elite.polito.it/ontologies/dogont.owl.

  2. 2.

    http://casas.wsu.edu/owl/cose.owl.

  3. 3.

    SpaceInAHOC is short for Space In A Human Occupation Construct.

  4. 4.

    Available at: https://code.google.com/p/sofia-ml/.

References

  1. Bonino, D., Corno, F.: DogOnt - ontology modeling for intelligent domotic environments. In: Sheth, A.P., Staab, S., Dean, M., Paolucci, M., Maynard, D., Finin, T., Thirunarayan, K. (eds.) ISWC 2008. LNCS, vol. 5318, pp. 790–803. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  2. Chen, L., Nugent, C.: Ontology-based activity recognition in intelligent pervasive environments. Int. J. Web Inf. Syst. 5(4), 410–430 (2009)

    Article  Google Scholar 

  3. Cook, D.: Learning setting-generalized activity models for smart spaces. IEEE Intell. Syst. 27(1), 32–38 (2010)

    Article  Google Scholar 

  4. Cook, D., Das, S.: Smart Environments: Technology, Protocols and Applications, vol. 43. Wiley, New York (2004)

    Book  Google Scholar 

  5. Cook, D., Feuz, K.D., Krishnan, N.C.: Transfer learning for activity recognition: A survey. Knowl. Inf. Syst. 36(3), 537–556 (2013)

    Article  Google Scholar 

  6. Cook, D.J., Schmitter-Edgecombe, M., et al.: Assessing the quality of activities in a smart environment. Methods Inf. Med. 48(5), 480 (2009)

    Article  Google Scholar 

  7. Dernbach, S., Das, B., Krishnan, N.C., Thomas, B.L., Cook, D.J.: Simple and complex activity recognition through smart phones. In: 2012 8th International Conference on Intelligent Environments (IE), pp. 214–221. IEEE (2012)

    Google Scholar 

  8. Krishnan, N.C., Cook, D.J.: Activity recognition on streaming sensor data. Pervasive Mob. Comput. 10, 138–154 (2014)

    Article  Google Scholar 

  9. Lawton, M.P., Brody, E.M.: Assessment of older people: self-maintaining and instrumental activities of daily living. The Gerontologist 9(3), 179–186 (1969)

    Article  Google Scholar 

  10. Matuszek, C., Cabral, J., Witbrock, M.J., DeOliveira, J.: An introduction to the syntax and content of Cyc. In: AAAI Spring Symposium: Formalizing and Compiling Background Knowledge and Its Applications to Knowledge Representation and Question Answering, pp. 44–49. Citeseer (2006)

    Google Scholar 

  11. Rashidi, P., Cook, D.J., Holder, L.B., Schmitter-Edgecombe, M.: Discovering activities to recognize and track in a smart environment. IEEE Trans. Knowl. Data Eng. 23(4), 527–539 (2011)

    Article  Google Scholar 

  12. Sahaf, Y.: Comparing Sensor Modalities for Activity Recognition. Master’s thesis, Washington State University (2011)

    Google Scholar 

  13. Sculley, D.: Large scale learning to rank. In: NIPS 2009 Workshop on Advances in Ranking, pp. 1–6 (2009)

    Google Scholar 

  14. Szewcyzk, S., Minor, B., Swedlove, B., Cook, D.: Annotating smart environment sensor data for activity learning. Technol. Health Care 17(3), 161–169 (2009)

    Google Scholar 

  15. Wang, X.H., Gu, T., Zhang, D.Q., Pung, H.K.: An ontology-based context model in intelligent environments. In: Proceedings of Communication Networks and Distributed Systems Modeling and Simulation Conference, vol. 2004, pp. 270–275 (2004)

    Google Scholar 

  16. Wemlinger, Z., Holder, L.: The COSE ontology: bringing the semantic web to smart environments. In: Abdulrazak, B., Giroux, S., Bouchard, B., Pigot, H., Mokhtari, M. (eds.) ICOST 2011. LNCS, vol. 6719, pp. 205–209. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

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Acknowledgements

Thanks to the CASAS project at Washington State University for making the data used in this study available. This work is supported in part by National Science Foundation grant DGE-0900781.

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Authors and Affiliations

  1. School of Electrical Engineering and Computer Science, Washington State University, Box 642752, Pullman, WA, 99164, USA

    Zachary Wemlinger & Lawrence Holder

Authors
  1. Zachary Wemlinger
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  2. Lawrence Holder
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Corresponding author

Correspondence to Zachary Wemlinger .

Editor information

Editors and Affiliations

  1. University of Colorado, Denver, Colorado, USA

    Cathy Bodine

  2. University of Florida, Gainesville, Florida, USA

    Sumi Helal

  3. RMIT University, Melbourne, Victoria, Australia

    Tao Gu

  4. Institut Mines Telecom/CNRS IPAL (UMI 2955), Singapore, Singapore

    Mounir Mokhtari

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Wemlinger, Z., Holder, L. (2015). Improving Activity Recognition in Smart Environments with Ontological Modeling. In: Bodine, C., Helal, S., Gu, T., Mokhtari, M. (eds) Smart Homes and Health Telematics. ICOST 2014. Lecture Notes in Computer Science(), vol 8456. Springer, Cham. https://doi.org/10.1007/978-3-319-14424-5_14

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  • DOI: https://doi.org/10.1007/978-3-319-14424-5_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-14423-8

  • Online ISBN: 978-3-319-14424-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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