Study on 3D Image Reconstruction Model of Sparring Action Based on Graph Neural Network (GNN)

With the advent of the information age, human demand for information is increasing day by day. The emergence of the concept of big data has triggered a new round of technological revolution, and visual information plays an important role in information. In order to obtain a better 3D model, this pap...

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Autores principales:	Yahui Chang, Meng Su
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Computer applications to medicine. Medical informatics R858-859.7 Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571
Acceso en línea:	https://doaj.org/article/cb54542fa1af42e9acd4bfea968965a9
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id	oai:doaj.org-article:cb54542fa1af42e9acd4bfea968965a9
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spelling	oai:doaj.org-article:cb54542fa1af42e9acd4bfea968965a92021-11-08T02:35:58ZStudy on 3D Image Reconstruction Model of Sparring Action Based on Graph Neural Network (GNN)1687-527310.1155/2021/6882467https://doaj.org/article/cb54542fa1af42e9acd4bfea968965a92021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/6882467https://doaj.org/toc/1687-5273With the advent of the information age, human demand for information is increasing day by day. The emergence of the concept of big data has triggered a new round of technological revolution, and visual information plays an important role in information. In order to obtain a better 3D model, this paper studies the reconstruction model of training motion 3D images based on a graphical neural network algorithm. This paper studies the problem of Sanda from the following two aspects. First, we try to apply two deep learning algorithms, graphical neural network and recurrent neural network, to the boxing movement recognition task and compare the effects with quadratic discriminant analysis and support vector machine. By comparing and analyzing the influence of different network structures on the deep learning algorithm, it is concluded that recurrent neural network has more practical application advantages than graph neural network in network structure parameter tuning.Yahui ChangMeng SuHindawi LimitedarticleComputer applications to medicine. Medical informaticsR858-859.7Neurosciences. Biological psychiatry. NeuropsychiatryRC321-571ENComputational Intelligence and Neuroscience, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Computer applications to medicine. Medical informatics R858-859.7 Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571
spellingShingle	Computer applications to medicine. Medical informatics R858-859.7 Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Yahui Chang Meng Su Study on 3D Image Reconstruction Model of Sparring Action Based on Graph Neural Network (GNN)
description	With the advent of the information age, human demand for information is increasing day by day. The emergence of the concept of big data has triggered a new round of technological revolution, and visual information plays an important role in information. In order to obtain a better 3D model, this paper studies the reconstruction model of training motion 3D images based on a graphical neural network algorithm. This paper studies the problem of Sanda from the following two aspects. First, we try to apply two deep learning algorithms, graphical neural network and recurrent neural network, to the boxing movement recognition task and compare the effects with quadratic discriminant analysis and support vector machine. By comparing and analyzing the influence of different network structures on the deep learning algorithm, it is concluded that recurrent neural network has more practical application advantages than graph neural network in network structure parameter tuning.
format	article
author	Yahui Chang Meng Su
author_facet	Yahui Chang Meng Su
author_sort	Yahui Chang
title	Study on 3D Image Reconstruction Model of Sparring Action Based on Graph Neural Network (GNN)
title_short	Study on 3D Image Reconstruction Model of Sparring Action Based on Graph Neural Network (GNN)
title_full	Study on 3D Image Reconstruction Model of Sparring Action Based on Graph Neural Network (GNN)
title_fullStr	Study on 3D Image Reconstruction Model of Sparring Action Based on Graph Neural Network (GNN)
title_full_unstemmed	Study on 3D Image Reconstruction Model of Sparring Action Based on Graph Neural Network (GNN)
title_sort	study on 3d image reconstruction model of sparring action based on graph neural network (gnn)
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/cb54542fa1af42e9acd4bfea968965a9
work_keys_str_mv	AT yahuichang studyon3dimagereconstructionmodelofsparringactionbasedongraphneuralnetworkgnn AT mengsu studyon3dimagereconstructionmodelofsparringactionbasedongraphneuralnetworkgnn
_version_	1718443229121085440

Study on 3D Image Reconstruction Model of Sparring Action Based on Graph Neural Network (GNN)

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