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A Multi-sensor Based Physical Condition Estimator for Home Healthcare

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Advances on Broad-Band Wireless Computing, Communication and Applications (BWCCA 2019)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 97))

Abstract

According to the WHO(World Health Organization) and UNSD(United Nations Statistics Division) definition, when the percentage of elderly people (65 years of age or older) in the population exceeds 7%, it becomes an “aging society”, if it exceeds 14%, it becomes an “aged society”, and if it exceeds 21%, it becomes a “super-aged society”. Some developed countries are becoming super-aged societies. In a super-aged society, there are various problems in medical services for health management. To solve these problems, it is desirable for all generations, including the elderly, to take the initiative to maintain their own health. In this paper, we propose a system aimed at every one of them actively managing their health. The system always monitors and accumulates the biological information of the subject using various contact or non-contact sensors. By analyzing these data in an integrated manner, the subject can easily recognize changes in the physical condition. And also, it promotes the provision of information to remote healthcare professionals when people receive healthcare at home.

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Authors and Affiliations

  1. Division of Computer Science and Intelligent Systems, Faculty of Science and Technology, Oita University, Oita, Japan

    Toshiyuki Haramaki & Hiroaki Nishino

Authors
  1. Toshiyuki Haramaki
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  2. Hiroaki Nishino
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Corresponding author

Correspondence to Toshiyuki Haramaki .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Department of Electronics, University of Antwerp, Antwerp, Belgium

    Peter Hellinckx

  3. Rissho University, Tokyo, Japan

    Tomoya Enokido

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Haramaki, T., Nishino, H. (2020). A Multi-sensor Based Physical Condition Estimator for Home Healthcare. In: Barolli, L., Hellinckx, P., Enokido, T. (eds) Advances on Broad-Band Wireless Computing, Communication and Applications. BWCCA 2019. Lecture Notes in Networks and Systems, vol 97. Springer, Cham. https://doi.org/10.1007/978-3-030-33506-9_2

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  • DOI: https://doi.org/10.1007/978-3-030-33506-9_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-33505-2

  • Online ISBN: 978-3-030-33506-9

  • eBook Packages: EngineeringEngineering (R0)

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