Iot based fall detection system for the elderly people
Neha Nandal, Mallikarjuna Rao, Kumudini Mandava, Jasvitha Vatsavaya, Sreeja Yalavarthi, Swetha Chouki · AIP conference proceedings · 2024
Given the prevalence of older people living alone, it might be challenging for them to get assistance in times of need.Falling is the most frequent reason for needing medical attention for elderly adults.Elderly people hurt themselves more frequently by falling, especially when they live alone.In order to lower the risk of the person after a fall, immediate medical attention is required.The intent of our project is to confect a fall detection sensor system which helps in cautioning the relatives of the injured person by sending SOS.The Internet of things concept is applied here to give a holistic approach.We have made use of sensors and a buzzer which are incorporated on the bread board for creating an effective detection system.Moreover, in our experimentation we have developed Mobile App using Kodular.This app is capable of accessing Person Status tag value from Google Firebase database (cloud environment).The tag value is updated in Realtime in cloud with the accelerometer sensor using Node MCU(ESP8266-12).In the app we created a button and whenever the fall is detected we will get a audio response as person has fallen.