We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Development of Fall Risk Detector for Elderly.
- Authors
Zakaria, Nor Aini; Rashid, Nur Amalina; Asa'ari, Muhammad Amir
- 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.
- Subjects
ACCIDENTAL falls in old age; ACCIDENT prevention; WEARABLE technology; ACCELEROMETERS; ARDUINO (Microcontroller); GSM communications; ACTIVITIES of daily living
- Publication
Telkomnika, 2018, Vol 16, Issue 4, p1577
- ISSN
1693-6930
- Publication type
Article
- DOI
10.12928/TELKOMNIKA.v16i4.9066