Reasons for limited weight loss in people who engage in physical training programs: Comparison with a physically active profession can shed light on this question

Silva, R.S.B.; Barbosa, F.K.L.; Felix, Roxanne; Souza, Marizângela Ferreira de; Cardoso, Glêbia Alexa; Silva, A.S.

doi:10.1016/j.scispo.2021.04.006

Cited by 2 publications

(1 citation statement)

References 7 publications

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“…At the same time, through computer virtual reality technology simulation, sports learning and training can also maximize the mobilization of physical and mental senses, prompting the optimal learning and training effect. The application of virtual reality technology to sports training can simulate an environment that is infinitely close to reality so that practitioners train in such an environment; not only can they understand the actual situation of their own practice, but they reduce the harm caused to themselves during training [8][9]. At the same time, the more dangerous training programs can also be demonstrated through the virtual athlete's demonstration of the action, participation in learning, and knowledge of the essentials of the action to avoid the risks in the exercise [10].…”

Section: Introductionmentioning

confidence: 99%

Application of VR technology in sports training in colleges and universities

Liu,

Tian

2024

Applied Mathematics and Nonlinear Sciences

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In this study, a digital human model was constructed using virtual reality (VR) technology to simulate sports training to reduce injuries caused by improper training. A distance likelihood-based probabilistic model was developed to capture and reconstruct sports training movement data by incorporating computer techniques to improve the quality of data capture. In addition, the study created an adaptive graph convolutional neural network to recognize the same movement under different viewpoints. Through experiments in taekwondo double flying kick training, it was demonstrated that the virtual simulation model could significantly improve the training effect, and the experimental group’s performance of high horizontal kick and double flying kick enhanced by 21.73% and 85.21%, respectively. Applying VR technology to sports training can not only avoid injuries but also significantly improve the training effect.

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Section: Introductionmentioning

confidence: 99%

Application of VR technology in sports training in colleges and universities

Liu,

Tian

2024

Applied Mathematics and Nonlinear Sciences

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Reform mode of sports training and competition organization based on data mining

Wan

2022

Concurrency and Computation

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SummaryChina has continuously strengthened its efforts in reforming the sports training and competition organization mode, issued a series of measures and made some innovations, but the current optimized policies and measures still have certain limitations. Therefore, this article first uses data mining technology to model students' sports training and competition mode, considering multi event competition, the scoring of the project itself, the uncertainty of the number of students in sports training and other factors. The results show that the average prediction accuracy of the time series data mining method applied in this article is 89.82%, which is 19.71% and 44.78% higher than that of ANN and traditional clustering methods, respectively. The average error rate of ARMA time series algorithm data mining is reduced by 21.95% and 18.89% compared with AR and Ma time series algorithm. In addition, compared with the convergence time of multidimensional sports data mining realized by AR algorithm and Ma algorithm, ARMA time series algorithm is shortened by 77.13% and 70.02%, respectively.

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Reasons for limited weight loss in people who engage in physical training programs: Comparison with a physically active profession can shed light on this question

Cited by 2 publications

References 7 publications

Application of VR technology in sports training in colleges and universities

Application of VR technology in sports training in colleges and universities

Reform mode of sports training and competition organization based on data mining

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