IoT-Based Real-Time Fall Detection and Pulse Monitoring Alert System for Healthcare Applications

As the need for remote healthcare monitoring increases, especially among elderly individuals and patients with chronic diseases, intelligent systems capable of detecting emergencies in real time have become essential. Existing IoT-based health monitoring systems often suffer from limitations such as high false alarm rates, limited processing capabilities, and reliance on single-sensor data. This project proposes an IoT-based real-time fall detection and pulse monitoring alert system designed for