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Ambient Intelligence by ATML Rules in BackHome

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Emerging Ideas on Information Filtering and Retrieval

Part of the book series: Studies in Computational Intelligence ((SCI,volume 746))

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Abstract

Applying ambient intelligence to assistive technologies and remote monitoring systems is a challenging task, especially in the field of healthcare. In this chapter, we focus on how ambient intelligence has been implemented within the telemonitoring and home support system developed in BackHome, an EU project that aims to study the transition from the hospital to the home for people with disabilities. The proposed solution adopts a rule-based approach to handle efficiently the system adaptation, personalization, alarm triggering, and control over the environment. Rules are written in a suitable formal language, defined within the project, and can be automatically generated by the system taking into account dynamic context conditions and user’s habits and preferences. Moreover, they can be manually defined by therapists and caregivers to address specific needs. In this chapter, we also present the concept of “virtual device”, which is a software element that mashes together information from two or more sensors in order to make some inference and provide new information. The abstraction of sensor information creates a powerful layered system, which provides a simpler, more readable and more natural description of the rules. Thanks to the proposed solution, end-users can rely on the automatic customization of their user interfaces according to their context and preferences; caregivers can personalize the system to the user’s need; and therapists can monitor user’s activities easily and can be informed as soon as an alarm is triggered or an anomaly detected.

Eloi Casals, José Alejandro Cordero, Stefan Dauwalder, Juan Manuel Fernández, Marc Solà, Eloisa Vargiu contributed equally to this work.

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Notes

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    Names have been changed for privacy reasons.

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Acknowledgements

The research leading to these results has received funding from the European Community’s, Seventh Framework Programme FP7/2007-2013, BackHome project grant agreement n. 288566.

Author information

Authors and Affiliations

  1. Barcelona Digital Technology Center, Barcelona, Spain

    Eloi Casals, José Alejandro Cordero & Marc Solà

  2. Eurecat Technology Center, eHealth Unit, Barcelona, Spain

    Stefan Dauwalder, Juan Manuel Fernández, Eloisa Vargiu & Felip Miralles

Authors
  1. Eloi Casals
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  2. José Alejandro Cordero
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  3. Stefan Dauwalder
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  4. Juan Manuel Fernández
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  5. Marc Solà
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  6. Eloisa Vargiu
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  7. Felip Miralles
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Corresponding author

Correspondence to Eloisa Vargiu .

Editor information

Editors and Affiliations

  1. Center for Advanced Studies, Research and Development in Sardinia (CRS4), Parco Scientifico e Tecnologico della Sardegna, Pula, Italy

    Cristian Lai

  2. Department of Electrical and Electronic Engineering, University of Cagliari, Cagliari, Italy

    Alessandro Giuliani

  3. Department of Computer Science, University of Bari, Bari, Italy

    Giovanni Semeraro

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Casals, E. et al. (2018). Ambient Intelligence by ATML Rules in BackHome. In: Lai, C., Giuliani, A., Semeraro, G. (eds) Emerging Ideas on Information Filtering and Retrieval. Studies in Computational Intelligence, vol 746. Springer, Cham. https://doi.org/10.1007/978-3-319-68392-8_3

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  • DOI: https://doi.org/10.1007/978-3-319-68392-8_3

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-68392-8

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