FURI | Spring 2024

Machine Learning on Embedded Systems to Assess Correct Form During Weight Training

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This study explores the application of machine learning in embedded systems to provide immediate feedback for weight training exercises. By employing Inertial Measurement Units (IMUs), it aims to accurately classify different exercises and ensure the correct form and posture, thus enhancing athlete safety and promoting effective muscle development. The integration of advanced algorithms with detailed motion data is expected to significantly reduce the risk of injuries.

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