Low Cost System for Fall Detection in the Elderly
Tatiana Pereira Filgueiras, Caroline Ruella Paiva Torres, Pedro Bertemes-Filho · 2020
Over the recent years, Internet of Things have been used to monitor biosignals in a large scale. Large scale demands the use of many biosensors and a complex control system, which may results in high cost technology. This article proposes a simple fall detection system targeting the elderly population at low cost. A prototype based on the Arduino Uno, accelerator and gyroscope was implemented and fixed in a individual's torso. Five types of movement were analyzed (walking, sitting, running, and falling). Data were transferred to a mobile phone using the HC-06 Bluetooth transmission module. The final proposed prototype was about $18.00 and have the advantage of detecting falls automatically. Measurements showed that a fall can be detected by either using the gyroscope or the accelerometer. The findings from this article mighty be useful when working on a multi-parameter device which uses intelligent algorithms to control health and fall among the elderly. With these, algorithms, it is expected to improve the fall detection system so that it also provides the individual's location and history of movements that precede a possible fall.