Issue |
SHS Web Conf.
Volume 200, 2024
2024 International Conference on Sustainable Economy and Social Sciences (SESS 2024)
|
|
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Article Number | 02017 | |
Number of page(s) | 4 | |
Section | Social Development | |
DOI | https://doi.org/10.1051/shsconf/202420002017 | |
Published online | 31 October 2024 |
Research on the Application of Smart Elderly Care Services in Home Elderly Care
Dalian University of Technology, Dalian, China
* Corresponding author: weekday666@163.com
The conventional wisdom about caring for the elderly inside families is crumbling under the weight of a fast-changing society and the mounting problems caused by an aging population. Smart senior care services leverage cutting-edge technology like AI, IoT, and big data analytics to provide comprehensive, specifically personalized care. This paper explores the theoretical foundations, practical applications, challenges, and recommended solutions for smart care services for the elderly using specific case studies to illustrate possible trends in future development. These services’ technical foundation consists of big data analysis to help identify the needs of the elderly, internet of things (IoT) to enable real-time monitoring, and artificial intelligence (AI) algorithms that offer smart health management solutions. These services include a wide range of tasks, such as monitoring health, helping with everyday tasks, and responding to emergencies. Costs, data security, and privacy protection are three of the many obstacles to marketing and expanding these services. A variety of approaches, including increased public awareness, supporting legislation, and regulatory actions, are proposed in the paper as potential solutions to these problems. Smart senior care services show great potential for home-based care, according to case studies. As time goes on and society evolves, these services are predicted to become more popular, making life easier and more pleasant for elders.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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