Research on Deep Learning Based Exercise Instruction Methods

Due to the lack of fitness exercise foundation, leisure time, the limitations of the sports ground, and other factors. A fitness exercise guidance system is designed to help people exercise effectively. In this paper, the improved OpenPose model is used to collect the skeletal information of the human body, and the collected information is normalized. The pose vector cosine distance is introduced to represent the single-frame similarity. The motion sequences are compared with the standard sequences, and the dynamic regularization algorithm is used to calculate the overall similarity and provide real-time feedback on motion correction. Finally, the overall network is applied to the baduanjin fitness exercise, which has the significance of promotion.