Multidimensional Analysis of Physical Education Teaching Based on Big Data Action Scenarios

Abstract

Combined with the development of the current educational environment, physical education will replace English as the third subject of education in the future. The breakthrough in physical education teaching is also gradually changing from the general education form to today’s smart education. In the era of big data, physical education can also apply this technology. In action scenarios based on big data, operations such as correction of detailed actions or monitoring and identification of key actions are common. Through the computer vision system, the rational judgment of the computer can be used to give follow-up training points. Also able to store personal data during training. The presentation of algorithms cannot be avoided through computer vision. Based on Action Bank as the basic algorithm, this paper proposes a template research method based on multispectral clustering and has been applied in Action Bank. The tedious manual template selection is eliminated. This method replaces it to facilitate its dissemination in different databases. In this method, due to the slow speed of extracting features, a fast algorithm of quantitative Action Bank is extracted. The experimental part of the article compares whether the algorithm has been optimized in terms of performance before and after optimization. The resolution, time consumption, and detection errors of the Action Bank model are carried out. The experimental exploration and data collection and comparison are carried out. After the experimental optimization, the performance has been improved. By comparing the meanshift detection method and spatiotemporal action detection method with the Action Bank model mentioned in this article, the experimental data of resolution, time consumption, and detection error are compared, and the Action Bank model is obtained in terms of resolution, time consumption, and error detection. The time consumption is better than the other two algorithm models, but there is room for improvement in detecting errors, but the experimental results also meet the current detection requirements, and in the current physical education teaching, it also occupies the forefront of this field, at the forefront. Ministry of Education. Instead of English, physical education has become the third subject! On April 21, the Ministry of Education released the “Compulsory Education Physical Education and Health Curriculum Standard (2022 Edition),” and the new curriculum standard will be officially implemented in the fall semester of 2022. Among them, the proportion of the total class hours of “Sports and Health” is 10-11%, surpassing foreign language to become the third major subject in the primary and early stages. Physical education has already started its journey. Traditional physical education can no longer meet the development of the current environment. The arrival of the information society has also brought about the development and progress of physical education. Only by better combining the current information technology can it be satisfied. The needs of physical education is in the future.