Development of Fall Risk Detector for Elderly

Nor Aini Zakaria (Universiti Teknologi Malaysia, Malaysia)
Nur Amalina Rashid (Universiti Teknologi Malaysia, Malaysia)
Muhammad Amir Asa’ari (Universiti Teknologi Malaysia, Malaysia)

TELKOMNIKA (Telecommunication Computing Electronics and Control)
Vol 16, No 4: August 2018

In Malaysia, falls has become the most common injuries for elderly. Therefore, a wearable fall detector device is created to decrease the risk of serious injury among elderly. The device consists of an accelerometer (ADXL345) as a sensor, an Arduino Nano as a microcontroller, and a Global System for Mobile Communications (GSM) as a notifier. A group of 15 young people participated in performing several sets of different falls and ADL (daily life activities) to determine the ability of the device. The result shows a good functioning performance by 92.6% sensitivity to detect fall and 89.3% specificity in discriminate fall from daily life activity.