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A Framework for a Fuzzy Smart Home IoT e-Health Support System

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Advances in Information and Communication (FICC 2019)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 69))

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Abstract

This study provides a conceptual framework for a smart home with an embedded electronic health (e-Health) support, utilizing the Internet of Things (IoT) technology and driven by fuzzy logic. A review of existing frameworks in the related field was made to provide a basis for the proposed framework. The proposed framework was then modeled, and the fuzzy logic system to assist in the decision making process of the system was designed using MATLAB. The fuzzy system was found useful in utilizing inputs from sensors in the smart home to process in the rule base and generate responses to provide support for the sick or aged inhabitants of a smart home. The full scale implementation of the framework in existing smart homes may offer an additional efficiency in the IoT services in healthcare support.

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Acknowledgements

We acknowledge the foundational works of the IoT Forum in [1] and other pioneering works that guided the design of this study. We equally acknowledge the MathWorks © Group that developed the Fuzzy Logic Toolbox in MATLAB that guided the design of the fuzzy logic component of this study.

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Authors and Affiliations

  1. Department of Computer Science, University of Calabar, Calabar, Nigeria

    Moses Adah Agana, Ofem Ajah Ofem & Bassey Igbo Ele

Authors
  1. Moses Adah Agana
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  2. Ofem Ajah Ofem
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  3. Bassey Igbo Ele
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Corresponding author

Correspondence to Moses Adah Agana .

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Editors and Affiliations

  1. Faculty of Science and Engineering, Saga University, Saga, Japan

    Kohei Arai

  2. The Science and Information (SAI) Organization, Bradford, UK

    Rahul Bhatia

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Agana, M.A., Ofem, O.A., Ele, B.I. (2020). A Framework for a Fuzzy Smart Home IoT e-Health Support System. In: Arai, K., Bhatia, R. (eds) Advances in Information and Communication. FICC 2019. Lecture Notes in Networks and Systems, vol 69. Springer, Cham. https://doi.org/10.1007/978-3-030-12388-8_31

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