Development of Fall Risk Detector for Elderly

Nor Aini Zakaria, Nur Amalina Rashid, Muhammad Amir Asa’ari


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.


Fall; accelerometer; daily life activity;

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TELKOMNIKA Telecommunication, Computing, Electronics and Control
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