Zakaria, Nor Aini and Rashid, Nur Amalina and Asa’ari, Muhammad Amir (2018) Development of fall risk detector for elderly. Telkomnika (Telecommunication Computing Electronics and Control), 16 (4). pp. 1577-1582. ISSN 1693-6930
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 | PDF 618kB | 
Official URL: http://dx.doi.org/10.12928/TELKOMNIKA.v16i4.9066
Abstract
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.
| Item Type: | Article | 
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| Uncontrolled Keywords: | Accelerometer, Daily life activity | 
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering | 
| Divisions: | Electrical Engineering | 
| ID Code: | 84509 | 
| Deposited By: | Widya Wahid | 
| Deposited On: | 11 Jan 2020 07:31 | 
| Last Modified: | 11 Jan 2020 07:31 | 
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