A wearable device for fall detection in elderly
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Full Text |
Pdf
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Author |
Agus Trisanto, Labib Hanafi, Nanang Rohadi and Nendi Suhendi Syafei
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e-ISSN |
1819-6608 |
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On Pages
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1609-1614
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Volume No. |
18
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Issue No. |
14
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Issue Date |
September 30, 2023
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DOI |
https://doi.org/10.59018/0723200
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Keywords |
fall detection, wearable device, blynk, telegram.
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Abstract
In this study, fall detection was developed for the elderly or patients with balance problems who require
monitoring all the time to reduce the impact of a greater fall. The system tracks the movement of the human body,
identifies falls from normal daily activities by calculating acceleration and orientation, and then sends requests for help to
nurses or their families via. Telegram messages and fall locations using the Blynk application. The results show that the
system can distinguish between normal activities and falls. The system can detect falls forward, backward, and sideways to
the left and right with an accuracy of 95%, 80%, 100%, and 75%, respectively.
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