Exercise Pose Correction using Machine Learning
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Exercise Pose Correction using Machine Learning
Authors:
Affan Faruque Warunkar[1], Pramod Jadhao[2]
Department of MCA, Trinity Academy of Engineering, Pune, India
Assistant Professor Department of MCA,Trinity Academy of Engineering, Pune, India
Abstract
This research explores the application of machine learning for correcting exercise poses in real-time. Incorrect exercise form can lead to injuries and reduced effectiveness. This study investigates how pose estimation techniques, particularly using deep learning models like OpenPose and MediaPipe, can detect and correct exercise poses to improve workout outcomes and safety.
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