Sports Auxiliary Training Based on Computer Digital 3D Video Image Processing

Xu, Saisai

doi:10.1155/2022/2105790

Cited by 5 publications

(6 citation statements)

References 16 publications

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“…The neural network model is essentially a directed acyclic graph model [ 11 , 12 ]. The basic idea is to make the machine use the network structure model to automatically analyze a large amount of original data, extract low-level original features to achieve various combinations of high-level abstract features, and use different combinations of these features to complete specific tasks.…”

Section: Introduction To the Principles And Methods Of Wireless Senso...mentioning

confidence: 99%

Sports Training Strategies and Interactive Control Methods Based on Neural Network Models

2022

Computational Intelligence and Neuroscience

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Sports training strategies should be combined with science and technology to design the most suitable coaching strategies for athletes. In the current 5G Internet of Everything, the collection of wireless sensors and the deep learning of neural networks provide a new direction for the formulation of sports training strategies, guiding sports strategies to be more effective and scientific. This article aims to study and formulate sports training strategies, through the empowerment of science and technology, to better guide scientific training. With the help of the collection and sorting of sensors, the neural network allows deep learning of data, realizes human-computer interaction, and allows machines to better serve humans. This paper proposes an interactive control strategy for sports training, which enhances the interactive control of humans and machines and improves the level of training through the deep fusion of data. The experimental results of this article show that the human-computer interaction exercise training can better guide the exercise training and improve the training efficiency by 20%.

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Section: Introduction To the Principles And Methods Of Wireless Senso...mentioning

confidence: 99%

Sports Training Strategies and Interactive Control Methods Based on Neural Network Models

2022

Computational Intelligence and Neuroscience

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“…e literature introduces a complete general scheme of exercise-assisted training. is article describes the general system of exercise-assisted training in four modules: domain knowledge, trainee, exercise analysis, and controller [14]. From the perspective of interactive training and series of decision-making, it illustrates how to model the qualification level of subjects in two common yes/no feedback training situations.…”

Section: Related Workmentioning

confidence: 99%

Design of AI System for National Fitness Sports Competition Action Based on Association Rules Algorithm

Xiang

Tong

Sheng-fa

2022

Computational Intelligence and Neuroscience

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In information system construction, online data migration is a very important link. At present, in different fields, people provide protection for online data migration through the way of project management to ensure the speed and efficiency of online migration. However, some problems may occur in the process of online data migration. In the development of contemporary sports, competitive sports, as the high-end stage of sports development, are constantly pursued by ordinary sports enthusiasts. Therefore, in the national fitness activities, how to combine the national fitness and competitive sports data to provide a more professional storage platform is a focus of research but also a problem to be solved in the process of online data migration. Because the data mining ID3 algorithm only supports querying and retrieving RowKey indexes, it does not support non-RowKey column indexing. Therefore, if you want to query non-RowKey indexes, the data mining ID3 algorithm will search the form in the overall scan, but the performance of this method is low. In order to improve the query speed of non-RowKey columns, this paper designs a secondary index function based on HBase. The sports competition action system can retrieve data from the secondary index of the query state, to avoid scanning the whole world and improve the search speed. In this paper, ID3 algorithm is used to combine national fitness and competitive sports data, which provides a guarantee for the migration of competitive sports data in the national fitness system.

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“…Sports videos can intuitively record a series of scenes of athletes' continuous actions during sports, and contain an abundance of high-level semantic information [10][11][12][13][14]. In real scenes of sports competitions, interferences like light intensity and camera jitter make it difficult to accurately segment and identify the action information in the complex continuous actions of athletes [15][16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Image Segmentation of the Continuous Action of Spiking in Volleyball Based on Spatial Neighborhood Information

Yang¹

2022

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In real scenes of sports competitions, interferences like light intensity and camera jitter make it difficult to accurately segment and identify the action information in the complex continuous actions of athletes. Spiking, a common action in volleyball, can be divided into three closely correlated phases: landing, buffering, and stretching. This paper explores the image segmentation of the continuous action of spiking in volleyball based on spatial neighborhood information. Specifically, the authors detailed how to acquire the neighborhood correlation images of volleyball players spiking the ball. The framework of the image segmentation model was presented, and the extraction method of weighted spatial neighborhood information was expounded. Next, the fuzzy c-means (FCM) clustering was optimized to effectively segment the video images on the continuous action of spiking in volleyball. The proposed algorithm was proved valid through experiments.

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Sports Auxiliary Training Based on Computer Digital 3D Video Image Processing

Cited by 5 publications

References 16 publications

Sports Training Strategies and Interactive Control Methods Based on Neural Network Models

Sports Training Strategies and Interactive Control Methods Based on Neural Network Models

Design of AI System for National Fitness Sports Competition Action Based on Association Rules Algorithm

Image Segmentation of the Continuous Action of Spiking in Volleyball Based on Spatial Neighborhood Information

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