Development of fall risk detector for elderly

• Main Authors: Zakaria, Nor Aini, Rashid, Nur Amalina, Asa’ari, Muhammad Amir
• Format: Article
• Language: English
• Published: Universitas Ahmad Dahlan 2018
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/84509/1/NorAiniZakaria2018_DevelopmentofFallRiskDetectorforElderly.pdf; http://eprints.utm.my/id/eprint/84509/; http://dx.doi.org/10.12928/TELKOMNIKA.v16i4.9066
• Institution: Universiti Teknologi Malaysia

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.