Development of Fall Detection and Alerting System for Elderly People Using Iot

Abstract

Fall isdangerous, especially for elder people and patients. Elder people undergo the risk of serious harm due to fall. There may be absence of any safety system to detect fall. Thus, this proposed system gives a better solution for older people and patientsand eases their lives. The system uses tri axial accelerometer MEMS sensor mainly, which is fixed to the person's body. This is to detect the movements of the person by considering the values reckoned by the sensor. Other sensors used in the system measure some health parameters of the person such as body temperature, heart beat and respiratory levels. These sensor inputs are fed into microcontroller for further processing.Once the sensor values crosses the threshold fixed intimation to the care taker is sent through IOT. On observing poor breath level automatic ventilator support mechanism is activated to help the elder people. The system will also alert the care taker with buzzer alert.