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人工智能时代背景下体育教育专业有氧方向人才培养策略研究

Research on the Training Strategy of Aerobic Physical Education Talents under the Background of Artificial Intelligence Era.

作者信息

Liu Xiaojing, Wang Hong

机构信息

Beijing Sport University, Beijing, China.

出版信息

Appl Bionics Biomech. 2022 Feb 3;2022:1102760. doi: 10.1155/2022/1102760. eCollection 2022.

DOI:10.1155/2022/1102760
PMID:35154376
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8831043/
Abstract

Aerobic is loved by the public, especially the young people, through the combination of the art and power of dance. With people's attention to health, the demand for aerobic professionals is increasing. As an important training base for aerobic professionals, the level and teaching ability of aerobic professionals have a great influence on students. The gradual maturity and rapid popularization of artificial intelligence bring many opportunities and challenges to the teaching of physical education in colleges and universities. Only by seizing the opportunities and facing the challenges, excavating their own existing problems, and transforming with the help of artificial intelligence can we adapt to the development trend of educational modernization in China. In order to increase the standardization and standardization of aerobics and provide executable standards for aerobic learning, performance, and adjudication, through the research on the training strategy of aerobic sports talents under the background of artificial intelligence era, capture aerobic performance actions with artificial intelligence awareness, standardize and standardize aerobics, and discuss the teaching effect of school intelligent aerobics, it is found that this study not only has important physical education teaching value but also relates to the application prospect of artificial intelligence technology in aerobic physical education talent training strategy.

摘要

有氧健身操通过舞蹈艺术与力量的结合深受大众尤其是年轻人喜爱。随着人们对健康的重视,对有氧健身操专业人才的需求日益增加。作为有氧健身操专业人才的重要培养基地,有氧健身操专业人才的水平和教学能力对学生有很大影响。人工智能的逐渐成熟和迅速普及给高校体育教学带来了诸多机遇与挑战。只有抓住机遇、直面挑战,挖掘自身存在的问题,并借助人工智能进行变革,才能适应我国教育现代化的发展趋势。为提高有氧健身操的规范性和标准化程度,为有氧健身操学习、表演及裁判提供可执行标准,通过对人工智能时代背景下有氧健身操运动人才培养策略的研究,利用人工智能感知捕捉有氧健身操表演动作,规范和标准化有氧健身操,并探讨学校智能有氧健身操的教学效果,发现本研究不仅具有重要的体育教学价值,还关乎人工智能技术在有氧健身操体育人才培养策略中的应用前景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cffa/8831043/cfceeaeaa6d3/ABB2022-1102760.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cffa/8831043/d26335187189/ABB2022-1102760.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cffa/8831043/707d3949f275/ABB2022-1102760.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cffa/8831043/a0f3c101ca82/ABB2022-1102760.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cffa/8831043/851b1410dae9/ABB2022-1102760.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cffa/8831043/cfceeaeaa6d3/ABB2022-1102760.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cffa/8831043/d26335187189/ABB2022-1102760.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cffa/8831043/707d3949f275/ABB2022-1102760.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cffa/8831043/a0f3c101ca82/ABB2022-1102760.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cffa/8831043/851b1410dae9/ABB2022-1102760.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cffa/8831043/cfceeaeaa6d3/ABB2022-1102760.005.jpg

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引用本文的文献

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Application of Improved VMD-LSTM Model in Sports Artificial Intelligence.改进的 VMD-LSTM 模型在体育人工智能中的应用。
Comput Intell Neurosci. 2022 Jul 14;2022:3410153. doi: 10.1155/2022/3410153. eCollection 2022.