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Intangible Approaches to Improve Individual Health Indicators and Empower Caregivers

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Internet of Everything for Smart City and Smart Healthcare Applications

Abstract

Population ageing is occurring at a very fast pace all over the world, which has a significant impact on all aspects of society. It is imperative to ensure that every human being lives with dignity and equality in a healthy environment; this requires an inclusive, comprehensive and prevention-oriented response.

According to this thinking, there are challenges and opportunities related to these demographic changes that require forward-looking policies. These policies are necessary to ensure inclusive and active ageing and active life strategies, quality and well-being and should also focus on contributing to a high quality of life. Every person – in every country in the world – should have the opportunity to live a long and healthy life.

In this context, the role of technology has proven fundamental in the development of solutions to promote medical health, provide wellness care and help caregivers. There are several technologies that have proven promising, such as virtual reality, augmented reality, mixed reality and machine learning.

This chapter presents work aimed at the elderly population, prototyping technology-based solutions for creating mechanisms for measuring and promoting well-being. In addition, it presents support mechanisms for the activities of caregivers in nursing homes, as a way to empower caregivers and ensure better health and well-being.

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References

  1. W. H. Organization. (2020). United Nation’s decade of healthy ageing (2021–2030). World Health Organization. [Google Scholar],.

    Google Scholar 

  2. W. H. Organization. (2022). WHO guideline on control and elimination of human schistosomiasis. World Health Organization.

    Google Scholar 

  3. United Nations. (2023). World social report 2023: Leaving no one behind in an ageing world, New York.

    Google Scholar 

  4. Eurostat, E. (2019). Ageing Europe—Looking at the lives of older people in the EU. EU, Stat. book.

    Google Scholar 

  5. PORDATA. (2022). Ageing indicators. Available online: https://www.pordata.pt/en/municipalities/ageing+indicators++according+to+census-1055

  6. Kafaee, M., Ansarian, Z., Taqavi, M., & Heidari, S. (2021). Design for well-being: The fourth generation of technology development. Technology in Society, 67, 101775. https://doi.org/10.1016/j.techsoc.2021.101775

    Article  Google Scholar 

  7. Valmaggia, L. R., Latif, L., Kempton, M. J., & Rus-Calafell, M. (2016). Virtual reality in the psychological treatment for mental health problems: An systematic review of recent evidence. Psychiatry Research, 236, 189–195. https://doi.org/10.1016/j.psychres.2016.01.015

    Article  Google Scholar 

  8. Riches, S., Azevedo, L., Bird, L., Pisani, S., & Valmaggia, L. (2021). Virtual reality relaxation for the general population: A systematic review. Social Psychiatry and Psychiatric Epidemiology. https://doi.org/10.1007/s00127-021-02110-z

  9. Liu, Q., Wang, Y., Yao, M. Z., Tang, Q., & Yang, Y. (2019). The effects of viewing an uplifting 360-degree video on emotional well-being among elderly adults and college students under immersive virtual reality and smartphone conditions. Cyberpsychology, Behavior and Social Networking, 23(3), 157–164. https://doi.org/10.1089/cyber.2019.0273

    Article  Google Scholar 

  10. Marques, B., Teixeira, A., Silva, S., Alves, J., Dias, P., & Santos, B. S. (2022). A critical analysis on remote collaboration mediated by augmented reality: Making a case for improved characterization and evaluation of the collaborative process. Computers and Graphics, 102, 619–633. https://doi.org/10.1016/j.cag.2021.08.006

    Article  Google Scholar 

  11. Kundu, G., Mukherjee, N., & Mondal, S. (2021). Building a graph database for storing heterogeneous healthcare data. In S. Tomonobu, P. N. Mahalle, T. Perumal, & A. Joshi (Eds.), Information and communication technology for intelligent systems (pp. 193–201). Springer Singapore. https://doi.org/10.1007/978-981-15-7062-9_19

    Chapter  Google Scholar 

  12. Brito, G., & Valente, M. T. (2020, March). REST vs GraphQL: A controlled experiment. In 2020 IEEE international conference on software architecture (ICSA) (pp. 81–91). https://doi.org/10.1109/ICSA47634.2020.00016

    Chapter  Google Scholar 

  13. Hartig, O., & Pérez, J. (2018). Semantics and Complexity of GraphQL. In Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW ‘18 (pp. 1155–1164). https://doi.org/10.1145/3178876.3186014

    Chapter  Google Scholar 

  14. Tomasetti, M. (2021). An analysis of the performance of Websockets in various programming languages and libraries. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3778525

  15. Popic, S., Pezer, D., Mrazovac, B., & Teslic, N. (2016, October). Performance evaluation of using Protocol Buffers in the Internet of Things communication. In 2016 international conference on smart systems and technologies (SST) (pp. 261–265). https://doi.org/10.1109/SST.2016.7765670

    Chapter  Google Scholar 

  16. Alshuqayran, N., Ali, N., & Evans, R. (2016, November). A systematic mapping study in microservice architecture. In 2016 IEEE 9th international conference on service-oriented computing and applications (SOCA) (pp. 44–51). https://doi.org/10.1109/SOCA.2016.15

    Chapter  Google Scholar 

  17. Wang, C.-Y., Bochkovskiy, A., & Liao, H.-Y. M. (2022, July). YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors. Accessed: 17 Feb 2023. [Online]. Available: http://arxiv.org/abs/2207.02696

  18. Serengil, S. I., & Ozpinar, A. (2020, October). LightFace: A hybrid deep face recognition framework. In 2020 innovations in intelligent systems and applications conference (ASYU) (pp. 1–5). https://doi.org/10.1109/ASYU50717.2020.9259802

    Chapter  Google Scholar 

  19. Serengil, S. I., & Ozpinar, A. (2021, October). HyperExtended LightFace: A facial attribute analysis framework. In 2021 international conference on engineering and emerging technologies (ICEET) (pp. 1–4). https://doi.org/10.1109/ICEET53442.2021.9659697

    Chapter  Google Scholar 

  20. Deng, J., Guo, J., Yang, J., Xue, N., Kotsia, I., & Zafeiriou, S. (2018, January). ArcFace: Additive angular margin loss for deep face recognition. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (CVPR). https://doi.org/10.1109/TPAMI.2021.3087709

    Chapter  Google Scholar 

  21. Kosti, R., Alvarez, J., Recasens, A., & Lapedriza, A. (2019). Context based emotion recognition using EMOTIC dataset. IEEE Transactions on Pattern Analysis and Machine Intelligence, 42(11), 1–1. https://doi.org/10.1109/TPAMI.2019.2916866

    Article  Google Scholar 

  22. Zhou, B., Lapedriza, A., Khosla, A., Oliva, A., & Torralba, A. (2018). Places: A 10 million image database for scene recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(6), 1452–1464. https://doi.org/10.1109/TPAMI.2017.2723009

    Article  Google Scholar 

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Acknowledgement

This work is funded by the European Regional Development Fund through the Regional Operational Program North 2020, within the scope of Project GreenHealth-Digital strategies in biological assets to improve well-being and promote green health, Norte-01-0145-FEDER-000042. The authors are grateful to the FCT Portugal for financial support by national funds FCT/MCTES to UNIAG, under project no. UIDB/04752/2020.

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Correspondence to Paula Odete Fernandes .

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Cunha, C.R., Moreira, A., Pires, L., Fernandes, P.O. (2024). Intangible Approaches to Improve Individual Health Indicators and Empower Caregivers. In: Gupta, N., Mishra, S. (eds) Internet of Everything for Smart City and Smart Healthcare Applications. Signals and Communication Technology. Springer, Cham. https://doi.org/10.1007/978-3-031-34601-9_11

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  • DOI: https://doi.org/10.1007/978-3-031-34601-9_11

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