Multisensor Data Fusion System for Wushu Sanda Teaching in Higher Education Institutions

Abstract

Classical data fusion methods can be roughly divided into two categories: one is based on random methods, such as weighted average, least squares, Kalman filtering, Bayesian estimation, DS evidence inference, and production rules; the other is based on artificial intelligence. Intelligent methods include fuzzy logic reasoning, artificial neural networks, and support vector machine methods. This paper introduces, analyzes, and summarizes the advantages and disadvantages of the above methods, as well as the level of use of these methods, and then introduces the current trend of data fusion technology toward the mixed development of multiple methods. This article is aimed at carrying out a research on the innovation of Wushu Sanda teaching mode in colleges and universities based on multisensor data fusion technology. This article puts forward the innovative theory of youth sports training in Sanda in the new era, combined with the current status of physical education in Chinese colleges and universities, and analyzes the practicality of the theory and the effect of system integration. This article accelerates reforms and collects data from four aspects: the policy system at the macro level, the integrated governance system at the meso level, the teacher service system at the micro level, and the digital industry system at the functional innovation level, and proposes innovative strategies for youth sports training and teaching in the new era. The results of the study show that people with 5.99 are more interested in the World Cup, accounting for the largest proportion, while the number of people who are interested in martial arts is the least, only 1.63. The innovative theory of youth sports training in Sanda in the new era improves the training effect of students by 60% compared with ordinary college Sanda training. It can to a large extent protect students from reluctant exercises that do not receive physical education in traditional teaching. Physiologically, it has unique advantages for the development of students. The teaching innovation model of this article can effectively solve the problems of physical education organization difficulty.