The Construction of the Fusion and Symbiosis Path of Infant Sports Development Based on Intelligent Environment

Abstract

In view of the differences and uniqueness of intelligence between people, the application of new educational thoughts is the need of the time; in the educational atmosphere created by the intelligent environment, it is urgent to seek a path of integration and symbiosis. This article takes the development of children's sports driven by the intelligent education project as the main research object, selects our city's children's football as the representative of sports events to carry out case studies, and uses the spectrum education program to explore the intelligent development of intelligent children with logical and mathematical advantages in the field of sports. This paper designs a data fusion method for homogeneous smart sensors. The correlation degree of the nodes in the continuous sampling period is obtained by defining the spatial correlation coefficient, and the confidence value and coherent degree of integration are obtained by applying the angle of attraction between nodes in the definition of fusion strategy in the evaluation of neighborhood, and lastly, the node coefficient of weight is reallocated to validate the fused expression. The feasibility of the simulation is used to confirm the trustworthiness of the solution. Based on the development status of children’s physical education, this article uses intelligent mobile networks to find out the problems in the physical education classes of kindergarten teachers and the problems that are not compatible with the development of children’s physical education. The kindergarten normal students receive targeted physical education and acquire solid professional skills. The study indicates that the percentage of basic motor and basic motility classes in the city's kindergartens is 100%, suggesting that all preschools in the city operate fundamental motor practice classes for a group of children. They have fully realized that basic movement exercises have an impact on children’s body shape.

Evaluation of Physical Education Teaching Effect Based on Big Data

“…Zhao and Zhao e evaluation of the quality of the physical education of colleges and universities in Guangxi Province was used from the perspective of teaching activities, and the weight of each index was given, and the rating scale is determined with a total of 100 points. en, the effectiveness of physical education was evaluated by measuring four levels [9]. Wang et al believed the first level index of the evaluation index system included theoretical knowledge of sports, sports skills, physical constitution, physical and mental experience, and sports participation.…”

Construction Principles of Physical Fitness Training Objective System Based on Machine Learning and Data Mining

“…In such an environment, more scholars and researchers apply data mining technology to college education and physical fitness analysis. Zhao and Zhao used the classification method of decision tree, applied data mining technology to students' achievement information, and constructed a professional ability decision tree model to help teachers have a more accurate and efficient insight into the existing problems in the teaching process, so as to make use of the achievement information to optimize the teaching quality [8]. Xu proposed to adopt decision tree ID3 algorithm and association rule Apriori algorithm for data mining and analysis based on student achievement data [9].…”

Research on the Application of Virtual Technology-based Posture Detection Device in Swimming Teaching

“…However, the number of selected rectangles generated by the image is too large, which makes the algorithm computationally inefficient, so it is necessary to filter out some of the rectangles. First of all, the background image can be removed using the background difference method, and then the image is divided into a grid of specified distances, and the detection frame containing the smallest object is set as the detection range of the sliding window, and the center point of the rectangular frame can only be in the intersection of the restricted range [18]. According to the size statistics of the dataset, it is need to set the pixel point taking steps for the rotation angle  , length h , and width w of the grasping rectangle, and the range of values which are shown in equations ( 5), ( 6), and (7).…”