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International Internet of Things Summit

IoT360 2014: Internet of Things. User-Centric IoT pp 242–247Cite as

Preventing Health Emergencies in An Unobtrusive Way

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Abstract

The Ambient Intelligence (AmI) paradigm represents the vision of the next wave of computing. By relying on various computing and networking techniques, AmI systems have the potential to enhance our everyday lives in many different aspects. One area in which widespread application of this innovative paradigm promises particularly significant benefits is health care. The work presented here contributes to realizing such promise by proposing a functioning software application able to learn the behaviors and habits, and thereby anticipate the needs, of inhabitants living in a technological environment, such as a smart house or city. The result is a health care system that can actively contribute to anticipating, and thereby preventing, emergency situations to provide greater autonomy and safety to disabled or elderly occupants, especially in cases of critical illness.

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Author information

Authors and Affiliations

  1. Institute of Information Science and Technologies (ISTI), National Research Council of Italy (CNR), Via Moruzzi 1, 56124, Pisa, Italy

    Vittorio Miori & Dario Russo

Authors
  1. Vittorio Miori
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  2. Dario Russo
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Corresponding author

Correspondence to Vittorio Miori .

Editor information

Editors and Affiliations

  1. CREATE-NET, Trento, Italy

    Raffaele Giaffreda

  2. University of Trento, Trento, Italy

    Radu-Laurentiu Vieriu

  3. Management Consultant, Edna Pasher Ph.D & Associates, Tel Aviv, Israel

    Edna Pasher

  4. Management Consultant, Edna Pasher Ph.D & Associates, Tel Aviv, Israel

    Gabriel Bendersky

  5. University of Applied Sciences, Institute of Information Systems, Delémont, Switzerland

    Antonio J. Jara

  6. University of Beira Interior, Covilhã, Portugal

    Joel J.P.C. Rodrigues

  7. IBM Research Laboratory, Haifa, Israel

    Eliezer Dekel

  8. IBM Research, Haifa, Israel

    Benny Mandler

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© 2015 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Miori, V., Russo, D. (2015). Preventing Health Emergencies in An Unobtrusive Way. In: Giaffreda, R., et al. Internet of Things. User-Centric IoT. IoT360 2014. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 150. Springer, Cham. https://doi.org/10.1007/978-3-319-19656-5_35

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  • DOI: https://doi.org/10.1007/978-3-319-19656-5_35

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19655-8

  • Online ISBN: 978-3-319-19656-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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