SURYANAMASKAR POSE CORRECTOR

SURYANAMASKAR POSE CORRECTOR

Prof. Mrs Swapna Bhavsar

Shraddha Bhoite, Pooja Jadhav, Prajakta Kank, Sanket Kurle
Department of Information Technology, PES MCOE, Pune, Maharashtra, India

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Abstract -In Surya namaskar self-learning is an integral part but incorrect posture while performing Surya namaskar can lead to serious harm to the muscles and ligaments of the body. Thus, to prevent this we present an intuitive approach based on machine learning techniques to correct the pose while performing Surya Namaskar The proposed system is aimed at providing concise feedback to the practitioner so they can perform Surya Namaskar poses correctly and assist them in identifying the incorrect poses and get proper feedback for improvement interevent injuries as well as increase their knowledge of a particular Surya Namaskar pose. A proposed deep learning model using convolutional neural networks (CNN) for Surya Namaskar pose identification and a human joints localization model followed by a process for identification of errors in the pose for developing the system. Using the proposed system, we will be able to achieve a classification accuracy of 95% for pose identification. After obtaining all the information about the user’s pose, the system gives feedback to improve or correct the user's posture

Key Words: Surya namaskar, Surya namaskar Pose detection, Key point detection