Real-Time Threshold-Based Fall Detection System using wearable IoT

• Main Authors: Muhd. Amir, Nur Izdihar, Dziyauddin, Rudzidatul Akmam, Mohamed, Norliza, Md. Din, Nor Syahida
• Format: Conference or Workshop Item
• Published: 2022
• Subjects: T Technology (General)
• Online Access: http://eprints.utm.my/id/eprint/98943/; http://dx.doi.org/10.1109/ICSSA54161.2022.9870974

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...