Exercise Repetition

Exercise repetition analysis focuses on accurately counting and assessing the quality of repeated movements in various contexts, from fitness tracking to physical therapy. Current research employs deep learning models, including Siamese networks and recurrent neural networks (RNNs), often incorporating sensor data (e.g., IMUs) or video analysis to achieve robust and accurate repetition counting across diverse exercises and individuals. These advancements offer significant potential for improving personalized fitness feedback, optimizing rehabilitation programs, and enhancing the understanding of human movement and motor control.