Posture Assessment Using Pose Detection in Python: A Real-time Approach with MediaPipe and OpenCV

This paper presents a method for real-time posture assessment using pose detection techniques implemented in Python. The proposed approach utilizes the Media Pipe library, combined with OpenCV, to track human pose landmarks and calculate angles between key body parts. Based on these angles, the system provides feedback on the user’s posture, focusing on neck alignment. This method has applications in healthcare, ergonomics, and fitness, providing an accessible solution for posture correction