Abstract
The development of information technology is changing all walks of life. People’s health problem is more and more prominent; people begin to talk about the reform of college sports training. Sports no longer rely on individual games, but on the comprehensive strength of science and technology competition. The fierce competition for Olympic gold medal in modern competitive sports is largely due to the competition of scientific and technological strength of various countries. China has also conducted a lot of research on sports information and made some achievements. Through the investigation, we know that, at present, the provincial level sports teams have established the relevant sports training information management system, which is very effective. The latest scientific and technological achievements are combined with sports to establish the university sports information system. The purpose of this paper is to analyze the university sports physical training information system based on big data mobile terminal, study the big data embedded system, improve the effect of sports skills training, and meet the social demand for high skilled sports talents. This paper uses the literature method, experimental investigation method, and big data spectral clustering algorithm-related experiments to study the advantages of big data and uses the value of big data and embedded system model to study the university sports physical fitness training information system based on big data mobile terminal. The results show that 40.6% of college students spend more time in physical exercise, based on the application of big data embedded system in college sports training; it is of great significance to arrange sports training methods to improve students’ sports training performance.
Highlights
As the core part of a PE teacher’s professional skills, physical training in colleges and universities is the prerequisite for PE teachers to teach, and the key factor of a PE teacher’s professional skills
Under the background of basic education reform and career development, the benefit analysis of physical exercise in sports colleges is not enough to improve the effect of physical exercise, to meet the social demand for high skilled sports talents
A questionnaire survey was conducted among the technical teachers and students of physical education major in colleges and universities. e questionnaire was designed for the leaders or coaches of colleges and universities who are in charge of or take charge of after-school training, as well as the students participating in the training, so as to investigate and understand the current situation of after-school physical training in colleges and universities
Summary
As the core part of a PE teacher’s professional skills, physical training in colleges and universities is the prerequisite for PE teachers to teach, and the key factor of a PE teacher’s professional skills. The current physical training level of physical education graduates in colleges and universities is not satisfactory. A considerable number of students think that their physical training level in colleges and universities is difficult to meet the needs of educational practice. There is little learning time for college physical training. E authors discuss the challenges and current literature of anomaly detection in cellular networks to meet the “big data” era First of all, they reviewed the latest technology in the field of anomaly detection in cellular networks and introduced a method of anomaly detection in cellular networks based on big data analysis, but the lack of specific data [1]. E innovation of this paper lies in the use of literature method, experimental investigation method, and the use of big data spectral clustering algorithm experiment, in order to study the method system of college students’ physical training, through the tracking comparison and analysis of college physical training methods, based on the application of big data embedded system in college sports physical training [4, 5]
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