Accelerative Fall Alert System Using Wristwear
S Gunanandhini, P Mathavan, Lakshna Shuruthi D, S Nitteesh, M Manoj · 2024
The project presents an accelerative fall alert system using an ESP32 microcontroller integrated into wristwear devices. The system uses an accelerometer to monitor user motion and detects sudden falls. It triggers an alert mechanism, including haptic feedback and wireless distress signals. The system is energy-efficient, user- friendly, customizable, and scalable, and integrates with existing IoT frameworks for remote monitoring. The system aims to improve safety and well-being for falls-prone individuals. The real-world implementation feasibility is demonstrated through practical scenarios and performance metrics. The proposed system holds promise for improving the safety and well-being of individuals prone to falls, providing a reliable and unobtrusive solution with the ESP32's advanced capabilities at its core.