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Context Modelling in Ambient Assisted Living: Trends and Lessons

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Internet of Things

Part of the book series: International Series in Operations Research & Management Science ((ISOR,volume 305))

Abstract

The current Internet of Things (IoT) development involves ambient intelligence which ensures that IoT applications provide services that are sensitive, adaptive, autonomous, and personalized to the users’ needs. A key issue of this adaptivity is context modelling and reasoning. Multiple proposals in the literature have tackled this problem according to various techniques and perspectives. This chapter provides a review of context modelling approaches, with a focus on services offered in Ambient Assisted Living (AAL) systems for persons in need of care. We present the characteristics of contextual information, services offered by AAL systems, as well as context and reasoning models that have been used to implement them. A discussion highlights the trends emerging from the scientific literature to select the most appropriate model to implement AAL systems according to the collected data and the services provided.

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Notes

  1. 1.

    https://www.w3.org/TR/owl-time/

  2. 2.

    https://www.w3.org/TR/owl-time/

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Authors and Affiliations

  1. Laboratoire DOMUS, Université de Sherbrooke, Sherbrooke, QC, Canada

    Armel Ayimdji Tekemetieu, Corentin Haidon, Frédéric Bergeron, Hubert Kengfack Ngankam, Hélène Pigot, Charles Gouin-Vallerand & Sylvain Giroux

  2. Institut Universitaire de Technologie, Douala, Cameroon

    Armel Ayimdji Tekemetieu

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  1. Armel Ayimdji Tekemetieu
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  2. Corentin Haidon
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Correspondence to Hélène Pigot .

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  1. Ingenium Research Group, ETSI Industriales de Ciudad Real, University of Castilla-La Mancha, Ciudad Real, Spain

    Fausto Pedro García Márquez

  2. LeBow College of Business, Drexel University, Decision Sciences and MIS, Philadelphia, PA, USA

    Benjamin Lev

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Tekemetieu, A.A. et al. (2021). Context Modelling in Ambient Assisted Living: Trends and Lessons. In: García Márquez, F.P., Lev, B. (eds) Internet of Things. International Series in Operations Research & Management Science, vol 305. Springer, Cham. https://doi.org/10.1007/978-3-030-70478-0_10

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