Artificial Intelligence Auxiliary Algorithm for Wushu Routine Competition Decision Based on Feature Fusion.

Chao Zhao,Bing Li,Fazlullah Khan

doi:10.1155/2021/1632393

Chao Zhao, Bing Li + Show 1 more

Open Access

https://doi.org/10.1155/2021/1632393

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Abstract

The developments of modern science and technology have significantly promoted the progress of sports science. Advanced technological methods have been widely used in sports training, which has not only improved the scientific level of training but also promoted the continuous growth of sports technology and competition results. Competitive Wushu routine is an important part of Chinese Wushu. The development trend of competitive Wushu routine affects the development of the whole Wushu movement. To improve the training effect of the Wushu routine using artificial intelligence, this paper employed fuzzy information processing and feature extraction technology to analyze the visual features in the process of Wushu competition. The deep neural network-based region segmentation method was employed for implicit feature extraction to examine the shape, texture, and other image features of Wushu routines and improve the recognition performance. The proposed feature extraction model achieved the highest average accuracy of 93.98% accuracy as compared to other contemporary algorithms. Finally, the model was evaluated to validate the superior performance of the proposed method in improving the decision-making ability and effective instruction ability of the martial arts routine competition.

Highlights

Wushu, formed gradually in the course of historical development, is a kind of integration of multiethnic cultures and the common cultural wealth of mankind [1]
As the “traditional Wushu” among the sports, it has been marked with the brand of competition since modern times, which speeds up the transformation of the traditional Wushu into the competitive style and conforms to the historical situation and trend, which is worthy of the affirmation of the Chinese nation [8]
It is evident that after the application of different filters of convolutional neural network (CNN), the prominent patterns of CNN are highlighted which can be seen in Figures 4(a) and 4(b)

Summary

Introduction

Wushu, formed gradually in the course of historical development, is a kind of integration of multiethnic cultures and the common cultural wealth of mankind [1]. It contains rich contents, including cultural, economic [2], religious, and political and is the organic combination of culture, sports, and art. As the “traditional Wushu” among the sports, it has been marked with the brand of competition since modern times, which speeds up the transformation of the traditional Wushu into the competitive style and conforms to the historical situation and trend, which is worthy of the affirmation of the Chinese nation [8]

Methods

Results

Conclusion