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

Year: 2024

Type: article

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

Source: International Journal For Multidisciplinary Research

DOI: 10.36948/ijfmr.2024.v06i06.33753

Authors: Chaithra V S -, Vikas M S -, Pankaja B -, Sowmya B -

Language: English

Topic: Human Pose and Action Recognition

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W4405807891

FWCI:

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