Impact of Intelligent Management of Physical Education Teaching and Athletic Training Integration on Improving Teaching Quality

Currently, China is facing numerous challenges in the sustainable development of sports training, as it struggles to meet the demand for talent cultivation under the policy of integrating sports and education. In this paper, the motion particle filtering algorithm enables the tracking of students’ movement postures during sports training in physical education. It utilizes a sparse model to identify and estimate human movement postures. Then compare and analyze the key action frames in standard sports and student sports to identify irregular body movements. Based on the posture estimation model, an intelligent management and analysis system combining physical education and sports training is constructed to help improve the quality of physical education. The results show that the human posture estimation method can accurately acquire and analyze posture data of athletes and teachers in physical education. The application of the intelligent management system can help improve students’ sports knowledge and teachers’ coaching ability and has a significant effect on the improvement of most of the students’ sports skills (P<0.05), which has a positive effect on the improvement of the quality of sports teaching. The intelligent management system proposed in this paper can provide a targeted technical diagnosis for student-athletes, which offers a new idea for solving the difficult problem that human coaches’ cognitive decision-making cannot be replicated and opens the intelligent closed loop of sports training.