Real-Time Threshold-Based Fall Detection System using wearable IoT
This paper presents a Real-Time Fall Detection System (FDS) in the form of a wearable device integrating an ADXL335 accelerometer as a fall detection sensor, and classify the falling condition based on the threshold method. This system detects the wearer's movements and analyses the result in b...
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Main Authors: | Muhd. Amir, Nur Izdihar, Dziyauddin, Rudzidatul Akmam, Mohamed, Norliza, Md. Din, Nor Syahida |
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Format: | Conference or Workshop Item |
Published: |
2022
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/98943/ http://dx.doi.org/10.1109/ICSSA54161.2022.9870974 |
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