Citation
Elagovan, Ramanujam and Perumal, Thinagaran and Krishnan, Shankar
(2023)
Fall detection systems at night.
Computer, 56 (6).
pp. 44-51.
ISSN 0018-9162; ESSN: 1558-0814
Abstract
Daytime-based fall detection systems (FADEs) are designed to prevent falls and help individuals carry out their activities independently. However, FADE for nighttime use is still a challenge for researchers. This article reviews various FADE systems and categorizes the open challenges for the design of nighttime-based FADE.
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Official URL or Download Paper: https://ieeexplore.ieee.org/document/10132105/
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Additional Metadata
| Item Type: | Article |
|---|---|
| Divisions: | Faculty of Computer Science and Information Technology |
| DOI Number: | https://doi.org/10.1109/mc.2022.3200404 |
| Publisher: | Institute of Electrical and Electronics Engineers |
| Keywords: | Fall detection; Internet of things; Good health and well-being |
| Depositing User: | Ms. Zaimah Saiful Yazan |
| Date Deposited: | 26 Sep 2024 04:26 |
| Last Modified: | 26 Sep 2024 04:26 |
| Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/mc.2022.3200404 |
| URI: | http://psasir.upm.edu.my/id/eprint/107979 |
| Statistic Details: | View Download Statistic |
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