Real-Time Automated Fall Detection System for Old People

The risk of falling is one of the most prevalent problems faced by elderly individuals. A study published by the World Health Organization [1] estimates that between 28% and 35% of people over 65 years old suffer at least one fall each year, and this figure increases to 42% for people over 70 years old. According to the World Health Organization, falls represent greater than 50% of elderly hospitalizations and approximately 40% of the non-natural mortalities for this segment of the population. Falls are a significant source of mortality for elderly individuals in developed countries.

Block Diagram

Flashing the Rapid IoT kit

we used NXP online IDE for developing the application. A step by step manuals for application development as well as flashing the device is available on NXP website. We have also developed a mobile application for visualizing the air quality information. For programming the raspberry pi is done by python.

Demo

Check the git repository for demo videos and APK.

 https://github.com/Mohammadsalahuddin/rapid_iot_fall_detection.git

Reference

1. World Health Organization . WHO Global Report on Falls Prevention in Older Age. World Health Organization; Geneva, Switzerland: 2007