Data Collection and Analysis in Sports Practice Teaching Based on Internet of Things Technology

Since entering the new century, people’s living standards have been continuously improved, living conditions have been continuously improved, which is the embodiment of the improvement of the country’s comprehensive strength, the increase in national strength has made the development of sports faster and faster, and the annual output value of sports is also increasing year by year. However, there are still many places that do not pay attention to practical content; in view of these problems, we use the Internet technology to collect and analyze the data of sports practice teaching; in this chapter paper, we use the 2SPLM observation matrix method and CS-MDGA algorithm, so that the collected sports practice teaching data is more quick and convenient to be analyzed. This paper also uses a large number of chart data to confirm the correctness and accuracy of their views, making the paper more reliable. The study shows that the teaching of physical education in China is increasing year by year, indicating that the teaching of physical practice in China is developing in a better direction. The mathematical modeling in the abstract section of the article uses computational methods such as constrained nonnegative matrix decomposition and constrained nonnegative matrix decomposition model optimization algorithm that integrates external information for research.