Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023)

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Design of Rural Home Smart Pension Monitoring System Based on Artificial Intelligence

Authors
Jingli Liu1, *
1Anhui University of Science and Technology, Huainan, 232001, China
*Corresponding author. Email: 120161289@qq.com
Corresponding Author
Jingli Liu
Available Online 9 October 2023.
DOI
10.2991/978-94-6463-262-0_86How to use a DOI?
Keywords
artificial intelligence; aging at home; smart home care
Abstract

In order to improve the efficiency of elderly care services and solve the problem that the traditional way of providing for the elderly is difficult to provide Effective demand, this paper designs a system for monitoring the quality of the elderly's home environment and detecting abnormal behavior. This paper studies the design of intelligent home care mode based on artificial intelligence, analyzes the unique advantages of intelligent home care in the new era, and summarizes Big data intelligent intervention, intelligent service robots, The intelligent wearable function and intelligent elderly care envision the application of four artificial intelligence technologies. In order to achieve smart elderly care at home, we need to establish an elderly information database system to comprehensively and deeply understand the living conditions and needs of the elderly. This database system contains multiple aspects of information, such as basic information about the elderly, health status, and living conditions. By collecting and integrating this information, we can quickly understand the condition of the elderly in order to provide them with better services and support. The system functional testing results show that the designed home smart elderly care monitoring system is flexible in networking, with high accuracy and reliability.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023)
Series
Atlantis Highlights in Engineering
Publication Date
9 October 2023
ISBN
10.2991/978-94-6463-262-0_86
ISSN
2589-4943
DOI
10.2991/978-94-6463-262-0_86How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Jingli Liu
PY  - 2023
DA  - 2023/10/09
TI  - Design of Rural Home Smart Pension Monitoring System Based on Artificial Intelligence
BT  - Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023)
PB  - Atlantis Press
SP  - 828
EP  - 835
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-262-0_86
DO  - 10.2991/978-94-6463-262-0_86
ID  - Liu2023
ER  -