Research And Design Of Long Jump Normative Analysis System Based On Deep Learning

The evaluation method of the long jump in physical education mainly depends on the subjective experience and professional knowledge of physical education teachers,which has some problems such as a lack of objectivity and low efficiency.A normative analysis system of the long jump based on deep learning is designed.By using a deep learning algorithm,the human pose estimation model is trained.An objective and quantitative normative analysis method is designed to achieve accurate analysis and evaluation of students’ long jump movements,improve students’ long jump performance,and achieve online teaching guidance through the Internet.Specific research contents are as follows:A lightweight single-person pose estimation model based on deep learning is trained.The bottom-up human pose estimation method is adopted in the model,and the key point coordinates of the human body in the Gaussian thermal map regression image are adopted to realize the motion pose estimation of the long jump tester.Through the analysis of the estimated results,the posture parameters of the subject during the exercise,such as leg Angle and body tilt Angle,can be obtained.The experimental results show that the model can accurately identify the key points of long jump and run on Raspberry PI.The normative analysis method of the long jump movement is proposed.Firstly,four standard key movements are formulated.During the normative analysis of the test movement sequence,the key movements of the test movement sequence are extracted according to certain rules,and then the normative score of the movement is calculated by comparing the test movement posture with the standard posture by analyzing the characteristic similarity of the movement.At the same time,the system can also provide movement improvement suggestions according to the movement characteristics of the subjects,to help the subjects improve their movement skills and improve their performance.The experimental results show that the accuracy rate of this method is 91%,and it has a certain application value in students’ long jump training,long jump correction,and other application scenarios.The standard analysis system of the long jump is designed,which is divided into hardware subsystem,server,and data management platform.The hardware subsystem can accurately capture the key point information of the students’ long jump action,and obtain the characteristic similarity between the test and standard actions by analyzing the parameters of the students’ movement trajectory,speed,and Angle.The system makes normative assessments and feedback according to the characteristic similarity of the students’ long jump action and uploates the results to the server.In addition,teachers and students can manage the long jump information through the data management platform.The system can provide scientific and objective guidance and support for students’ physical exercise and competition,which is helpful to improve students’ skills and competitive level in long jump and promote the overall development of student’s physical and mental health.