IoT-Enhanced Posture Detection Mechanism with RTS Health Monitoring and Safety Alerts

Exercise-related injuries have increased lately and most of them occur due to incorrect body posture.This paper presents a novel approach that combines pose detection and IoT-based health monitoring to enhance the safety and effectiveness of people.Using OpenCV, system accurately detects exercise posture and counts number of reps as well as analyses the angle of movement to ensure correct form by using custom-built algorithms and provides real time feedback.The system is further designed for future integration with IoT health sensors, to track real-time physiological metrics.The integration of IoT sensors would enable the system to issue alerts if critical thresholds are exceeded, thereby enhancing user safety.Initial tests demonstrate high accuracy in repetition counting and real-time feedback, with a user-friendly interface.The system achieved an average success rate of over 95% across exercises, with Plank reaching 100% success in certain scenarios.Deadlift also hit 100%, while Push-Ups and Burpees showed success rates between 94%-98%.