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Context Modelling in Ambient Assisted Living: Trends and Lessons

In: Internet of Things

Author

Listed:
  • Armel Ayimdji Tekemetieu

    (Université de Sherbrooke
    Institut Universitaire de Technologie)

  • Corentin Haidon

    (Université de Sherbrooke)

  • Frédéric Bergeron

    (Université de Sherbrooke)

  • Hubert Kengfack Ngankam

    (Université de Sherbrooke)

  • Hélène Pigot

    (Université de Sherbrooke)

  • Charles Gouin-Vallerand

    (Université de Sherbrooke)

  • Sylvain Giroux

    (Université de Sherbrooke)

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.

Suggested Citation

  • Armel Ayimdji Tekemetieu & Corentin Haidon & Frédéric Bergeron & Hubert Kengfack Ngankam & Hélène Pigot & Charles Gouin-Vallerand & Sylvain Giroux, 2021. "Context Modelling in Ambient Assisted Living: Trends and Lessons," International Series in Operations Research & Management Science, in: Fausto Pedro García Márquez & Benjamin Lev (ed.), Internet of Things, chapter 0, pages 189-225, Springer.
    • Handle: RePEc:spr:isochp:978-3-030-70478-0_10
    DOI: 10.1007/978-3-030-70478-0_10
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