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A Utility Model for Tailoring Sensor Networks to Users

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User Modeling, Adaptation and Personalization (UMAP 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9146))

Abstract

The proportion of people aged over 65 has significantly increased in recent times, with further increases expected. Multiple sensor-based monitoring solutions have been proposed to tackle the main concerns of elderly people and their carers, viz fall detection and safe movement in the house. At the same time, user studies have shown that cost is the most important factor when deciding whether to install a monitoring system. In this paper, we offer a utility-based approach for selecting a sensor configuration for a user on the basis of his/her behaviour patterns and preferences regarding false alerts and delay in the detection of mishaps, while taking into account his/her budget. Our evaluation on two real-life datasets shows that our utility function supports the selection of cost-effective sensor configurations.

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Author information

Authors and Affiliations

  1. Faculty of Information Technology, Monash University, Clayton, VIC, 3800, Australia

    Masud Moshtaghi & Ingrid Zukerman

Authors
  1. Masud Moshtaghi
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  2. Ingrid Zukerman
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Corresponding author

Correspondence to Masud Moshtaghi .

Editor information

Editors and Affiliations

  1. Free University of Bozen-Bolzano, Bozen-Bolzano, Italy

    Francesco Ricci

  2. University of Sheffield, Sheffield, United Kingdom

    Kalina Bontcheva

  3. Trinity College Dublin, Dublin, Ireland

    Owen Conlan

  4. Trinity College Dublin, Dublin, Ireland

    Séamus Lawless

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© 2015 Springer International Publishing Switzerland

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Moshtaghi, M., Zukerman, I. (2015). A Utility Model for Tailoring Sensor Networks to Users. In: Ricci, F., Bontcheva, K., Conlan, O., Lawless, S. (eds) User Modeling, Adaptation and Personalization. UMAP 2015. Lecture Notes in Computer Science(), vol 9146. Springer, Cham. https://doi.org/10.1007/978-3-319-20267-9_13

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  • DOI: https://doi.org/10.1007/978-3-319-20267-9_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-20266-2

  • Online ISBN: 978-3-319-20267-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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