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Nathaniel Varghese

A Robust Human Fall Detection Wireless System

Folsom, CA
Grade 11


A Robust Human Fall Detection Wireless System

The project is an automatic and robust human fall detection system designed for elderly people. Today "pendants" exists for similar purpose, but these require the person to push a button when they fall. Often, when an elderly person falls, they are too incapacitated to do this, rendering such systems ineffective. This system uses an accelerometer as a sensor to automatically detect the fall. It uses a 4-stage fall detection algorithm running on an Arduino microcontroller that makes the fall detection robust with minimal false alerts. Finally, when a fall occurs, the system uses an XBee radio to send an alert signal wirelessly to a remote station to get help.


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