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Using IoT Assistive Technologies for Older People Non-Invasive Monitoring and Living Support in Their Homes

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  • Sorin-Aurel Moraru

    (Department of Automatics and Information Technology, Transilvania University of Brașov, B-dul Eroilor 29, 500036 Brașov, Romania)

  • Adrian Alexandru Moșoi

    (Department of Psychology, Education and Teacher Training, Transilvania University of Brașov, B-dul Eroilor 29, 500036 Brașov, Romania)

  • Dominic Mircea Kristaly

    (Department of Automatics and Information Technology, Transilvania University of Brașov, B-dul Eroilor 29, 500036 Brașov, Romania)

  • Ionuț Moraru

    (Department of Informatics, King’s College London, 30 Aldwych, London WC2B 4BG, UK
    School of Computer Science, University of Lincoln, Brayford Pool Campus, Lincoln LN6 7TS, UK)

  • Vlad Ștefan Petre

    (Department of Automatics and Information Technology, Transilvania University of Brașov, B-dul Eroilor 29, 500036 Brașov, Romania)

  • Delia Elisabeta Ungureanu

    (Department of Automatics and Information Technology, Transilvania University of Brașov, B-dul Eroilor 29, 500036 Brașov, Romania)

  • Liviu Marian Perniu

    (Department of Automatics and Information Technology, Transilvania University of Brașov, B-dul Eroilor 29, 500036 Brașov, Romania)

  • Dan Rosenberg

    (Department of Automatics and Information Technology, Transilvania University of Brașov, B-dul Eroilor 29, 500036 Brașov, Romania)

  • Maria Elena Cocuz

    (Department of Fundamental Disciplines and Clinical Prevention, Transilvania University of Brașov, B-dul Eroilor 29, 500036 Brașov, Romania)

Abstract

Many western societies are confronted with issues in planning and adapting their health policies due to an ageing population living alone. The “NOt Alone at Home—NOAH” project aimed to involve older people in the Agile co-creation of services for a collaborative monitoring and awareness notification for remote caregivers. Our research aim was to create a scalable and modern information system that permitted a non-invasive monitorization of the users for keeping their caregivers up to date. This was done via a cloud IoT (Internet of Things), which collects and processes data from its domotic sensors. The notifications generated by the system, via the three applications we developed (NOAH/NOAH Care/Admin Centre), offer caregivers an easy way of detecting changes in the day-to-day behaviour and activities of their patients, giving them time to intervene in case of abnormal activity. Such an approach would lead to a longer and more independent life for the older people. We evaluated our system by conducting a year-long pilot-study, offering caregivers constant information from the end-users while still living independently. For creating our pilot groups, we used the ABAS (Adaptive Behaviour Assessment System) II, which we then matched with the pre-profiled Behavioral Analysis Models of older people familiar with modern communication devices. Our results showed a low association between daily skills and the sensors we used, in contrast with the results from previous studies done in this field. Another result was efficiently capturing the behaviour changes that took place due to the COVID-19 Lockdown measures.

Suggested Citation

  • Sorin-Aurel Moraru & Adrian Alexandru Moșoi & Dominic Mircea Kristaly & Ionuț Moraru & Vlad Ștefan Petre & Delia Elisabeta Ungureanu & Liviu Marian Perniu & Dan Rosenberg & Maria Elena Cocuz, 2022. "Using IoT Assistive Technologies for Older People Non-Invasive Monitoring and Living Support in Their Homes," IJERPH, MDPI, vol. 19(10), pages 1-22, May.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:10:p:5890-:d:814080
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    References listed on IDEAS

    as
    1. Rytis Maskeliūnas & Robertas Damaševičius & Sagiv Segal, 2019. "A Review of Internet of Things Technologies for Ambient Assisted Living Environments," Future Internet, MDPI, vol. 11(12), pages 1-23, December.
    2. Jakob Trischler & Timo Dietrich & Sharyn Rundle-Thiele, 2019. "Co-design: from expert- to user-driven ideas in public service design," Public Management Review, Taylor & Francis Journals, vol. 21(11), pages 1595-1619, November.
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