Paper Contents
Abstract
Falls among elderly individuals are a serious concern, often leading to injuries, hospitalization,or loss of independence. To address this issue, our project aims to develop a lightweight wearable fall detection system using gait analysis. This system is built using components such as Arduino UNO, MEMS sensor, force sensor, GPS, GSM module, buzzer, red LED, LCD, and relay. The system is powered by a reliable power supply and programmed using Embedded C in the Arduino IDE. The MEMS sensor and force sensor are used to continuously monitor the gait (walking pattern) and body movements of the user. If an abnormal movement or fall is detected, the buzzer and red LED are activated to give an immediate alert. Simultaneously, the GPS module detects the location, and the GSM module sends an alert message with the location to caregivers or family members. The LCD displays real-time system status for easier monitoring.This compact and efficient design ensures real-time fall detection and quick response, improving safety and providing peace of mind for both elderly individuals and their caregivers. The system is cost-effective, easy to use, and suitable for daily wear.
Copyright
Copyright © 2025 CHITHALA ARCHANA. This is an open access article distributed under the Creative Commons Attribution License.
