| Issue |
E3S Web Conf.
Volume 565, 2024
2024 5th International Conference on Urban Engineering and Management Science (ICUEMS2024)
|
|
|---|---|---|
| Article Number | 02022 | |
| Number of page(s) | 4 | |
| Section | Cultural Tourism Management and Business Innovation Development | |
| DOI | https://doi.org/10.1051/e3sconf/202456502022 | |
| Published online | 09 September 2024 | |
Survey on Sensor based Fall Assistance System for Elderly
Central South University, 932 Lu Shan Nan Road, Yuelu District, Changsha, Hunan Province, China, 410083
* Corresponding author: 8212221214@csu.edu.cn
Falling is one of the main factors causing injuries to the elderly. However, there is a lack of comprehensive review surveys in this field. This paper systematically summarizes the relevant studies in recent years. First, considering the duration of fall prevention, this paper divides fall prevention into fall injury prevention and fall behavior prevention; then in order to comprehensively study fall detection and prediction, this paper divides relevant studies into environmental sensors and wearable sensors according to the different used sensors. According to current research, this paper also proposes a full-process architecture for fall assistance, which integrates multiple sensors and algorithms. Finally, the trends and challenges of fall-related research from four aspects are summarized.
© 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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