Babu, D. Vijendra and Ramya, S. (2023) Wearable Device based Fall Prediction and Alert Mechanism for Aged People using IoT Technology. In: UNSPECIFIED.
Full text not available from this repository.Abstract
In actuality, falls increase exponentially with age or with older biological changes, leading in a high rate of falls and eventually fall injuries in ageing populations. Assistive technologies that may aid in the relief of this serious health condition are a societal priority in this environment. The bulk of orthodox medicine alert measurement techniques depend on a pendant or key that the beloved one should press in order to seek help. Such devices are immensely effective and to save life every day. Some elders, however, are at a significantly greater risk than many others. If the beloved person falls, this also will be unable to activate the emergency alert system and request help. This is when Intelligent Fall Prevention comes into play. The benefits of automatic fall detection for elderly people can be tremendous. Additionally, if you or a beloved person suffers from mellitus or some other ailment that raises the chance of falling; this feature may provide you with additional peace of mind. If the loved one is hurt or becomes unconscious as a consequence of a fall and is alone, automatic fall detection equipment significantly improves the chances of obtaining immediate assistance. © 2023 Elsevier B.V., All rights reserved.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Engineering > Biomedical Engineering |
| Divisions: | Engineering and Technology > Aarupadai Veedu Institute of Technology, Chennai > Electrical & Electronics Engineering |
| Depositing User: | Unnamed user with email techsupport@mosys.org |
| Last Modified: | 01 Dec 2025 06:06 |
| URI: | https://vmuir.mosys.org/id/eprint/2605 |
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