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: | , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2022
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/39410/1/Real-Time%20Threshold-Based%20Fall%20Detection%20System%20Using%20Wearable%20IoT.pdf http://umpir.ump.edu.my/id/eprint/39410/2/Real-time%20threshold-based%20fall%20detection%20system%20using%20wearable%20IoT_ABS.pdf http://umpir.ump.edu.my/id/eprint/39410/ https://doi.org/10.1109/ICSSA54161.2022.9870974 |
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