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A Conceptual Approach to Enhance the Well-Being of Elderly People

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Book cover Progress in Artificial Intelligence (EPIA 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11805))

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Abstract

The number of elderly people living alone is increasing. Consequently, a lot of research works have been addressing this issue in order to propose solutions that can enhance the quality of life of elderly people. Most of them have been concerned in dealing with objective issues such as forgetfulness or detecting falls. In this paper, we propose a conceptual approach of a system that intends to enhance the daily sense of user’s well-being. For that, our proposal consists in a system that works as a social network and a smartwatch application that works unobtrusively and collects the user’s physiological data. In addition, we debate how important features such as to detect user’s affective states and to potentiate user’s memory could be implemented. Our study shows that there are still some important limitations which affect the success of applications built in the context of elderly care and which are mostly related with accuracy and usability of this kind of system. However, we believe that with our approach we will be able to address some of those limitations and define a system that can enhance the well-being of elderly people and improve their cognitive capabilities.

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Notes

  1. 1.

    https://visualstudio.microsoft.com/xamarin/.

  2. 2.

    https://www.drools.org/.

  3. 3.

    https://www.mi.com/global/mi-smart-band-4/.

  4. 4.

    https://www.samsung.com/us/mobile/wearables/all-wearables/?flagship_series=Galaxy+Fit.

  5. 5.

    https://www.sonymobile.com/global-en/products/smart-products/smartwatch-3-swr50/.

  6. 6.

    https://www.apple.com/watch/.

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Acknowledgments

The work presented in this paper has been developed under the EUREKA - ITEA3 Project PHE (PHE-16040), and by National Funds through FCT (Fundação para a Ciência e a Tecnologia) under the projects UID/EEA/00760/2019 and UID/CEC/00319/2019 and by NORTE-01-0247-FEDER-033275 (AIRDOC - “Aplicação móvel Inteligente para suporte individualizado e monitorização da função e sons Respiratórios de Doentes Obstrutivos Crónicos”) by NORTE 2020 (Programa Operacional Regional do Norte).

Author information

Authors and Affiliations

  1. Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development (GECAD), Institute of Engineering, Polytechnic of Porto, Porto, Portugal

    Diogo Martinho, João Carneiro & Goreti Marreiros

  2. ALGORITMI Centre, University of Minho, Guimarães, Portugal

    Paulo Novais & José Neves

  3. BISITE Digital Innovation Hub, University of Salamanca, Edificio Multiusos, Madrid, Spain

    Juan Corchado

Authors
  1. Diogo Martinho
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  2. João Carneiro
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  3. Paulo Novais
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  4. José Neves
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  5. Juan Corchado
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  6. Goreti Marreiros
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Corresponding author

Correspondence to Diogo Martinho .

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Editors and Affiliations

  1. INESC-TEC, University of Trás-os-Montes and Alto Douro, Vila Real, Portugal

    Paulo Moura Oliveira

  2. University of Minho, Braga, Portugal

    Paulo Novais

  3. LIACC/UP, University of Porto, Porto, Portugal

    Luís Paulo Reis

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Martinho, D., Carneiro, J., Novais, P., Neves, J., Corchado, J., Marreiros, G. (2019). A Conceptual Approach to Enhance the Well-Being of Elderly People. In: Moura Oliveira, P., Novais, P., Reis, L. (eds) Progress in Artificial Intelligence. EPIA 2019. Lecture Notes in Computer Science(), vol 11805. Springer, Cham. https://doi.org/10.1007/978-3-030-30244-3_5

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  • DOI: https://doi.org/10.1007/978-3-030-30244-3_5

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