Abstract
In "Human Pose Estimation" with integrated feedback mechanisms to assess and guide users in achieving correct poses. Utilizing advanced deep learning techniques in computer vision, the system swiftly detects key points on the human body and provides instant feedback on pose accuracy. Built on convolutional neural networks trained on extensive pose datasets, the system includes pose detection, classification, and feedback stages. By comparing detected poses with predefined correct poses, the system delivers positive feedback for accurate poses and corrective guidance for deviations. Key Words: Human Pose Estimation, Pose Detection, Pose Classification, Correct Pose Assessment, Fitness Training, Key Points Detection, Correct Pose Thresholds
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