Water Aerobics as a Form of Health Activities

Batrak, Anna S.; Polyakova, Antonina V.; Federation, Russian

doi:10.13187/ejpe.2013.1.14

Cited by 1 publication

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“…The effective integration of national fitness and national public health can improve the physical and mental health of the public and meet the long-cherished wish of the public to increasingly pursue a better life. It is necessary to promote the effective integration of national fitness and national public health, and to integrate national public health into the development of all policies with the development goal of great health [ 16 ].…”

Section: Introductionmentioning

confidence: 99%

[Retracted] Analysis of the Impact of the Development Level of Aerobics Movement on the Public Health of the Whole Population Based on Artificial Intelligence Technology

Qiu

2022

Journal of Environmental and Public Health

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With the enhancement of China’s comprehensive national power and the improvement of people’s living standards, health has become the goal that people pursue. While people are thirsty for extensive knowledge and a healthy body, they also pay more attention to the cultivation of elegant temperament and the enjoyment of beauty, and aerobics has become a hot spot for national fitness with its advantages of coordinated and beautiful movements, bright and cheerful rhythm and obvious fitness effects. Aerobics is a new popular fitness sports, from the beginning of development by most fitness enthusiasts, especially it is a women’s favorite. To this end, the characteristics, value, status, and role of aerobics in the public health of all people are discussed, and the problems of poor recognition effect in the existing aerobics difficulty aerobics action recognition methods are proposed to apply the graph convolutional neural network to the aerobics difficulty aerobics action recognition. The video of aerobics is divided into several images, and the background of the aerobics difficult aerobics action image is eliminated, and the gray scale co-generation matrix is set to estimate the local area blur kernel of the difficult action image to correct the visual error of the difficult action image. “change to” The aerobics action is divided into several difficult action images, and the gray-scale symbiosis matrix is set to estimate the local area fuzzy core of the difficult action image, and correct the visual error of the difficult action image. On this basis, the graph convolutional neural network is pre-trained to construct a human-directed spatial-temporal skeleton map, and the human-directed spatial-temporal map representation is modeled with temporal dynamic information to achieve aerobics difficult aerobics action recognition. The experimental results show that the recognition time of the difficult aerobics movements based on the graph convolutional neural network is shorter and the number of false recognitions is less in complex and simple backgrounds, which proves that the proposed method improves the recognition of difficult aerobics movements to achieve the goal of promoting the development level of aerobics and improving the public health of all people.

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Section: Introductionmentioning

confidence: 99%

[Retracted] Analysis of the Impact of the Development Level of Aerobics Movement on the Public Health of the Whole Population Based on Artificial Intelligence Technology

Qiu

2022

Journal of Environmental and Public Health

View full text Add to dashboard Cite

show abstract

Water Aerobics as a Form of Health Activities

Cited by 1 publication

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[Retracted] Analysis of the Impact of the Development Level of Aerobics Movement on the Public Health of the Whole Population Based on Artificial Intelligence Technology

[Retracted] Analysis of the Impact of the Development Level of Aerobics Movement on the Public Health of the Whole Population Based on Artificial Intelligence Technology

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