Description

Abstract

Fall detection is major challenge in healthcare domains. For elder people , it is very difficult to manage  when they are fall from wheelchair. It is very serious and leads to especially healthcare issues. So we have developed a IoT based fall detection system which involves , if a person falls from the wheelchair, it will turn ON the buzzer and alert the people around that place , and the fall detection will updated in the cloud . Here we are using IoT Gecko web to connect with the wifi network which shows the fall detection online. For detecting the fall detection we are using accelerometer and gyroscope sensors. If the sensor values exceeds the particular threshold value , it will detected as fall, the buzzer will ON. The users can get the alert in IoT gecko website or in app .

Proposed system

• In this project, we are using NodeMCU ESP8266 as a main controller. Accelerometer and Gyroscope sensors connected to monitor the axis of the person.
• If sensor value exceeds , it will turn ON the buzzer and alert the people around the place.
• Fall detection, alert message will displayed in the LCD and cloud.