Fall Detection System using Tri- Axial Accelerometer
Harshita Radesh Kumar, Shruthi Janardhan, Divya Prakash, Mithilesh Kumar · 2018
Falls are noticeably the major cause of injury and death among the elderly thereby disturbing their ability to routinely function due to the decline of their physical fitness. Fall detection is hence a major challenge in the healthcare for the aged and hence timely and dependable action after a fall is necessary to lessen the negative impact of falls. This system is also effective in other situations which include detecting the fall of a worker at a construction site or of a trekker who might fall from tripping on the surface of a hill top or a rocky terrain. The proposed fall detection sensor is a wearable device which includes hardware components like ESP8266- the microprocessor, MPU6050 sensor-tri axial accelerometer and gyroscope and a GPS NEO-6M module- location scanner. The axial values of the sensor are pushed onto a server which is created on the MQTT cloud. Using the login credentials set beforehand, we can access the values on MQTT client and get alerts as to when the fall has been detected as well as location of the fall. The device uses minimal hardware along with an algorithm which ensures less power requirements and easy to use features.