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Smart Environments and Social Robots for Age-Friendly Integrated Care Services

Author

Listed:
  • Ionut Anghel

    (Computer Science Department, Technical University of Cluj-Napoca, Memorandumului 28, 400114 Cluj-Napoca, Romania)

  • Tudor Cioara

    (Computer Science Department, Technical University of Cluj-Napoca, Memorandumului 28, 400114 Cluj-Napoca, Romania)

  • Dorin Moldovan

    (Computer Science Department, Technical University of Cluj-Napoca, Memorandumului 28, 400114 Cluj-Napoca, Romania)

  • Marcel Antal

    (Computer Science Department, Technical University of Cluj-Napoca, Memorandumului 28, 400114 Cluj-Napoca, Romania)

  • Claudia Daniela Pop

    (Computer Science Department, Technical University of Cluj-Napoca, Memorandumului 28, 400114 Cluj-Napoca, Romania)

  • Ioan Salomie

    (Computer Science Department, Technical University of Cluj-Napoca, Memorandumului 28, 400114 Cluj-Napoca, Romania)

  • Cristina Bianca Pop

    (Computer Science Department, Technical University of Cluj-Napoca, Memorandumului 28, 400114 Cluj-Napoca, Romania)

  • Viorica Rozina Chifu

    (Computer Science Department, Technical University of Cluj-Napoca, Memorandumului 28, 400114 Cluj-Napoca, Romania)

Abstract

The world is facing major societal challenges because of an aging population that is putting increasing pressure on the sustainability of care. While demand for care and social services is steadily increasing, the supply is constrained by the decreasing workforce. The development of smart, physical, social and age-friendly environments is identified by World Health Organization (WHO) as a key intervention point for enabling older adults, enabling them to remain as much possible in their residences, delay institutionalization, and ultimately, improve quality of life. In this study, we survey smart environments, machine learning and robot assistive technologies that can offer support for the independent living of older adults and provide age-friendly care services. We describe two examples of integrated care services that are using assistive technologies in innovative ways to assess and deliver of timely interventions for polypharmacy management and for social and cognitive activity support in older adults. We describe the architectural views of these services, focusing on details about technology usage, end-user interaction flows and data models that are developed or enhanced to achieve the envisioned objective of healthier, safer, more independent and socially connected older people.

Suggested Citation

  • Ionut Anghel & Tudor Cioara & Dorin Moldovan & Marcel Antal & Claudia Daniela Pop & Ioan Salomie & Cristina Bianca Pop & Viorica Rozina Chifu, 2020. "Smart Environments and Social Robots for Age-Friendly Integrated Care Services," IJERPH, MDPI, vol. 17(11), pages 1-31, May.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:11:p:3801-:d:363543
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    References listed on IDEAS

    as
    1. Joost Van Hoof & Jan K. Kazak & Jolanta M. Perek-Białas & Sebastiaan T. M. Peek, 2018. "The Challenges of Urban Ageing: Making Cities Age-Friendly in Europe," IJERPH, MDPI, vol. 15(11), pages 1-17, November.
    2. Fabio Bagalà & Clemens Becker & Angelo Cappello & Lorenzo Chiari & Kamiar Aminian & Jeffrey M Hausdorff & Wiebren Zijlstra & Jochen Klenk, 2012. "Evaluation of Accelerometer-Based Fall Detection Algorithms on Real-World Falls," PLOS ONE, Public Library of Science, vol. 7(5), pages 1-9, May.
    3. Dongmin Shin & Dongil Shin & Dongkyoo Shin, 2014. "Ubiquitous Health Management System with Watch-Type Monitoring Device for Dementia Patients," Journal of Applied Mathematics, Hindawi, vol. 2014, pages 1-8, March.
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    Cited by:

    1. Joost van Hoof & Hannah R. Marston, 2021. "Age-Friendly Cities and Communities: State of the Art and Future Perspectives," IJERPH, MDPI, vol. 18(4), pages 1-13, February.
    2. Alexandru Rancea & Ionut Anghel & Tudor Cioara, 2024. "Edge Computing in Healthcare: Innovations, Opportunities, and Challenges," Future Internet, MDPI, vol. 16(9), pages 1-28, September.

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