Design and Development of an IoT Based Stability Monitoring System for Remote Data Visualisation and Control for Elderly People
S D Yukthi, Anagha Saraswathi M, Ankitha, D Sejal, Praveen Kumar M · 2025
In order to enhance safety and speed of response for those who are at danger, the fall detection system uses the ESP8266, which is a microcontroller & MPU6050 sensor to track and detect falls in real time. Accelerator and gyroscopic data are recorded by the MPU6050’s six-axis motion tracking and processed and analyzed by the ESP8266. When a possible fall is detected, this microcontroller’s Wi-Fi connectivity allows it to send alarms to distant devices, giving caretakers real-time notifications. Using particular threshold-based algorithms, the system detects aberrant movement patterns linked to falls and separates them from normal motions. The ESP8266 & MPU6050 combination’s small size makes it possible to apply a successful, affordable solution in a variety of settings, including households and medical facilities. Wi-Fi integration offers the option for additional improvements, like cloud-based analytics and remote data storage, which could improve detection accuracy and increase system capabilities. Thus, by providing continuous surveillance without user involvement, our fall detection system provides a workable and scalable solution for protecting vulnerable people. Algorithmic improvements to lower error rates and combining with machine learning methods that improve detection precision and dependability are possible future advances.