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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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Bibliographic Details
Main Authors: Nur Izdihar, Muhd Amir, Rudzidatul Akmam, Dziyauddin, Norliza, Mohamed, Nor Syahidatul Nadiah, Ismail, Nor Saradatul Akmar, Zulkifli, Norashidah, Md Din
Format: Conference or Workshop Item
Language:English
English
Published: Institute of Electrical and Electronics Engineers Inc. 2022
Subjects:
QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
TA Engineering (General). Civil engineering (General)
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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