International Journal For Multidisciplinary Research

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

Author(s) Chaithra V S, Vikas M S, Pankaja B, Sowmya B
Country India
Abstract 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
Keywords Posture Detection, Mediapipe, open cv, Real-time pose detection
Field Computer > Automation / Robotics
Published In Volume 6, Issue 6, November-December 2024
Published On 2024-12-25
DOI https://doi.org/10.36948/ijfmr.2024.v06i06.33753
Short DOI https://doi.org/g8w2wn
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