A portable fall detection system using lstm with android alert
J. Jeyashanthi, Thanuja Babu, J. Barsana Banu, C. Sharmila · 2025
The development of a wearable, portable gadget for fall detection and real-time health monitoring is presented in this project. To measure vital signs and identify falls, the gadget has a number of sensors, including an ADXL accelerometer, temperature sensor, pulse oximeter (Pulse O 2 ), and SpO2. The device sends data to an Arduino-based controller for processing after continuously monitoring physiological factors and movement patterns. Fall incidents are divided into two groups using a Long Short-Term Memory (LSTM) model: falls brought on by outside forces and falls brought on by underlying medical conditions. The system sends out an alarm to alert emergency personnel or caretakers when it detects a fall. This smart wearable technology improves real-time health monitoring, especially for chronic patients and the elderly, guaranteeing prompt medical attention and increased safety.