Practical Analysis of Digital Technology in an Electronic Education Platform in PE Training

Abstract

To improve the practical effect of digital technology (DT) in electronic education platform (ECP) in sports training, this study proposes using OpenPose as the main method of posture matching in sports teaching. MobileNet was introduced to replace the backbone network in OpenPose to improve the efficiency of the model. At the same time, self-attention mechanism (SAM) is introduced to improve the accuracy of the model. In the performance verification results, the proposed algorithm has a mean mean absolute error (MAE) of 0.793 and a root mean square error (RMSE) of 0.628. The accuracy of the proposed algorithm reached a maximum of 0.893 in the test set. The accuracy of the proposed algorithm exceeds 90% in the training set. In the practice of physical education (PE) and training, the absolute error between the actual value and the predicted value does not exceed 1.5 cm, while the relative error does not exceed 1.2%. The minimum absolute error and relative error are 0.01 cm and 0.2%, respectively. The proposed algorithm has high prediction effect and performance, and can be applied to PE training.