Proceedings of the 2025 International Conference on Engineering Management and Safety Engineering (EMSE 2025)

Application and Optimization Strategies of Intelligent Technology in Fall Risk Prevention for the Elderly

Authors
Guozhu Li1, 2, Haizhu Xue1, *, Zhonghui Li3, Yang Guo2
1School of Municipal and Environmental Engineering, Shenyang Jianzhu University, Shenyang, 110168, China
2China Academy of Building Research, Beijing, 100013, China
3Liaoning Provincial Building Design & Research Institute, Shenyang, 110005, China
*Corresponding author. Email: xuehaizhu666@163.com
Corresponding Author
Haizhu Xue
Available Online 3 July 2025.
DOI
10.2991/978-94-6463-780-9_48How to use a DOI?
Keywords
Intelligent Buildings; Falls in the Elderly; Environmental Risk Factors; Intelligent Technology
Abstract

The intensifying global aging trend has made fall risk among the elderly a critical public health issue. This study explores the dynamic evolution of environmental risk mechanisms and the collaborative optimization of intelligent technologies, highlighting the limitations of traditional protective measures in addressing the nonlinear coupling effects of multiple factors. Through comparative analysis of four categories of intelligent sensing technologies (wearable devices, visual monitoring, environmental perception, and multimodal fusion), we validate that multimodal fusion achieves 97.8% detection accuracy in home environments. The research further identifies privacy-ethical conflicts, deployment cost constraints, and sustainability requirements as core challenges for technological implementation. By conducting multidimensional comparisons between traditional protection systems and intelligent solutions, optimization pathways are proposed, including dynamic threshold adjustment, lightweight hardware deployment, and user-participatory design, thereby providing methodological support for constructing intelligent protection systems that balance safety and accessibility. Future research should further reconcile technical precision, accessibility, and ethical compliance to facilitate large-scale applications of intelligent technologies in elderly health management.

Copyright
© 2025 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 2025 International Conference on Engineering Management and Safety Engineering (EMSE 2025)
Series
Advances in Engineering Research
Publication Date
3 July 2025
ISBN
978-94-6463-780-9
ISSN
2352-5401
DOI
10.2991/978-94-6463-780-9_48How to use a DOI?
Copyright
© 2025 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

TY  - CONF
AU  - Guozhu Li
AU  - Haizhu Xue
AU  - Zhonghui Li
AU  - Yang Guo
PY  - 2025
DA  - 2025/07/03
TI  - Application and Optimization Strategies of Intelligent Technology in Fall Risk Prevention for the Elderly
BT  - Proceedings of the 2025 International Conference on Engineering Management and Safety Engineering (EMSE 2025)
PB  - Atlantis Press
SP  - 536
EP  - 542
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-780-9_48
DO  - 10.2991/978-94-6463-780-9_48
ID  - Li2025
ER  -