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Technical Analysis of Pulling Ball in Table Tennis Teaching Based on Big Data

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DOI: 10.23977/aetp.2021.59007 | Downloads: 10 | Views: 713

Author(s)

Li Huang 1, Wenfei Huang 2

Affiliation(s)

1 School of Physical Education, Hunan University of Arts and Science, Changde 415000, Hunan, China
2 Liuyehu Lvyou Dujia Qu Fuji Xiaoxue, Changde 415000, Hunan, China

Corresponding Author

Li Huang

ABSTRACT

With the continuous development of society, the requirements of table tennis teaching in our country are also increasing. Reverse loop technique is an important technique for athletes in sports. Almost every high-level athlete can use it. It is very important to improve the skills of the players to improve their loop skills. The purpose of this paper is to analyze the technology of table tennis reverse loop based on big data, and provide theoretical guidance for table tennis teaching. In this paper, through a series of research methods, such as literature review, experimental method, etc Vicon system is the main experimental equipment. Six male table tennis players from a university in our city are selected as the experimental objects to analyze their movement process in two important technical movements, that is, anti pull high loop technique and anti pull forward loop movement. The order of each link movement, the parameters of upper and lower limbs movement and the change value of body gravity center are obtained Kinematic parameters, through the comparison of data to find out the range of action to improve the level of athletes. After the experiment, it can be found that the twist angle of the body will be larger when the technical action of back pulling the high hanging loop ball is in progress; while the pitch angle between the ball and the racket is larger when the forward running loop ball is in progress.

KEYWORDS

Table Tennis Teaching, Pull the Ball, Experimental Method, Mathematical Statistics

CITE THIS PAPER

Li Huang, Wenfei Huang. Technical Analysis of Pulling Ball in Table Tennis Teaching Based on Big Data. Advances in Educational Technology and Psychology (2021) 5: 52-59. DOI: http://dx.doi.org/10.23977/aetp.2021.59007

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