Research on volleyball action standardization based on 3D dynamic model

Zhang, Guiqing; Zhong, Lin

doi:10.1016/j.aej.2021.02.035

Cited by 10 publications

(8 citation statements)

References 18 publications

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“…The final model is the result of a large group trial, which meets the eligibility standards for use. Volleyball is a sport with a relatively large range, so once the action is not standard, it is very easy to cause damage to the player (Zhang & Zhong, 2021). The final model of the fundamental movement learning model for volleyball through the play approach for elementary school children is packed in the form of a book.…”

Section: Final Product Revisionmentioning

confidence: 99%

Volleyball Fundamental Movement Learning Model in Primary School

Samsudin

Setiawan

Taufik

et al. 2021

Teor. metod. fiz. vihov.

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The study purpose. This study aims to develop a volleyball fundamental movement learning model with a game-centered approach and test its effectiveness in improving the volleyball learning outcomes of elementary school students Materials and methods. The research method used is research and development (R&D) which adopts the10 steps of Borg and Gall R&D model. The data analysis techniques used in this study were qualitative and quantitative. This study used a pretest-posttest control group design to determine the initial abilities of the experimental and the control group (n = 40). The significance test of the learning model effectiveness used a t-test. Normality test was carried out before the data analysis on the results of the experimental group and the control group improvement in the fundamental movement of volleyball with the significance level = 0.05. Results. The results of this study indicate a significant improvement for the experimental group data (0.97) and the control group data (0.42). Because the significance value of the two groups is more than 0.05, the overall data for the study group is normally distributed. The learning model effectiveness test results show the value of t-count -71.065. Conclusions. The fundamental movement improvement of the experimental group is higher or more effective than that of the control group. So it can be concluded that the volleyball fundamental movement learning model with a game-centered approach is effective and efficient to be given to elementary school students.

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Section: Final Product Revisionmentioning

confidence: 99%

Volleyball Fundamental Movement Learning Model in Primary School

Samsudin

Setiawan

Taufik

et al. 2021

Teor. metod. fiz. vihov.

View full text Add to dashboard Cite

show abstract

“…Physical motion recognition technology is widely used in various elds. Applying natural person and natural person recognition technology to the purpose of sports recognition can accurately identify sports, compare them with existing sports, and identify and correct irregular sports [5].…”

Section: Introductionmentioning

confidence: 99%

Deep Learning-Based Posture Recognition for Motion-Assisted Evaluation

Yuan

Zheng

2022

Mobile Information Systems

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With the development of computer vision technology, human action pose recognition has gradually become a popular research direction, but there are still some problems in the application research based on pose recognition in sports action assisted evaluation. In this paper, the human motion pose recognition technology based on deep learning is introduced into this field to realize the intelligence of sports-assisted training. Firstly, we analyze the advantages and limitations of the state-of-the-art human motion pose recognition algorithms in computer vision in specific fields. On this basis, a human motion space recognition method based on periscope neural network is proposed. Firstly, the classical radar signal processing method is used to preprocess the echo signal of human spatial position and generate the frequency image in the process of human spatial position. Then, the periscope neural network (CNN) is constructed, and the time-frequency image is used as the input data of CNN to train the network parameters. Finally, the method is tested by using the open dataset in the network. The experimental results show that the designed CNN can accurately identify four different types of physical motion, and the accuracy coefficient is at least 97%.

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“…While participating teams continue to use new technologies, new tactics, and new styles of play, they also put forward higher requirements on the overall abilities of volleyball players [2]. Excellent volleyball players can maximize the accuracy and o ensive characteristics of serving, which is undoubtedly an e ective supplement to the overall o ensive strength of the team [3]. e precision of the athlete's serve technique must therefore be continually improved during the volleyball training process if they are to win the match.…”

Section: Introductionmentioning

confidence: 99%

[Retracted] Comparative Analysis of Volleyball Serve Action Based on Human Posture Estimation

Zhou

Saeed²

2022

Mobile Information Systems

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Serving is one of the most crucial techniques in volleyball. Serving is a method that does not require team interaction and is difficult for the opponent to immediately interfere with. The feature migration module with a fixed offset is suggested in this work. This module can be thought of as a cross-channel dilated convolution approximation of dilated convolution. The reason cross-channel dilated convolution is not worse than standard dilated convolution with few parameters is discussed in this article. An improved random forest model is put forth to address the issue of the human pose estimation system’s high memory consumption when utilizing random forest as the classifier. This model presents the Poisson process and incorporates it with the depth data to create a filter before using Bootstrap sampling. In order to optimize and reconstruct the training dataset, a portion of the feature sample points that do not contribute positively to subsequent classification is removed from the original training dataset. This allows the training dataset to better account for the repeated sampling of the random forest during the sampling process. Resampling has some drawbacks, but they are not very representative. The effectiveness of the optimization model, which significantly lowers the system’s time and space complexity and increases the system’s applicability, is demonstrated by experiments.

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Research on volleyball action standardization based on 3D dynamic model

Cited by 10 publications

References 18 publications

Volleyball Fundamental Movement Learning Model in Primary School

Volleyball Fundamental Movement Learning Model in Primary School

Deep Learning-Based Posture Recognition for Motion-Assisted Evaluation

[Retracted] Comparative Analysis of Volleyball Serve Action Based on Human Posture Estimation

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