IoT BASED WHEELCHAIR FALL DETECTION SYSTEM

IoT BASED WHEELCHAIR FALL DETECTION SYSTEM

K. Amogha1 C. Sahithi2 I. Harish3 Dr. Y. Srinivasulu4
1,2,3Student 4Professor

1,2,3,4 Department of Electronics and Communication Engineering 1,2,3,4

Sreenidhi Institute of Science and Technology, Ghatkesar, Hyderabad, India.

Abstract—
It is important to take care of our elderly people and keep an eye on their well-being and security. It is likely that they have a high risk of falling because of their fragile bones and joints, which brings in the usage of wheelchair for most of the old people. A wheelchair-bound individual who is physically impaired needs to be watched out for falls as well. There are currently monitoring systems using CCTV cameras, but they are very expensive. The average person cannot afford such a system. As a result, we suggest an affordable fall detection system using the newest technology such as Internet of Things (IoT). The system uses gyroscope and accelerometer sensors to detect individual movements. Both collaborate to detect the fall events improving the detection’s accuracy. It might be mounted on a person's hand or wheelchair for finding. The sensor is connected to a microcontroller so that it can continuously monitor the data about the increasing speed. What if the individual did not fall and the warning given was false? The framework allows the alarm to be turned off if the individual presses the snooze button within 5 seconds. Therefore, IoT will reduce user effort while also generating fertile work that makes accessing the system simple.

Keywords- Arduino   UNO   R3,   w h e e l c h a i r    f a l l d e t e c t i o n , a c c u r a c y , S e n s o r s