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Smart Service System for Youth Health and National Traditional Sports Based on Big Data

The physical health of adolescents is directly related to the rise and fall of the country, the hope of the nation, and their own healthy growth. It is a focal issue that the country, society, schools, and families have always paid close attention to. Based on big data, this paper explores the intel...

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Bibliographic Details
Published in:Wireless communications and mobile computing 2022-06, Vol.2022, p.1-12
Main Authors: Feng, Qingkun, Ren, Bo, Wang, Lijun
Format: Article
Language:English
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Summary:The physical health of adolescents is directly related to the rise and fall of the country, the hope of the nation, and their own healthy growth. It is a focal issue that the country, society, schools, and families have always paid close attention to. Based on big data, this paper explores the intelligent service system of youth health and national traditional sports. The national traditional sports culture is based on the national traditional sports as the carrier to reflect the sum of the educational wisdom and sports connection and practical ability of all ethnic groups. This article first introduces health big data and the traditional sports culture of the nation. And a health status evaluation model based on multivariate Gaussian distribution is proposed, which adopts Gaussian distribution theory. Based on the multivariate Gaussian distribution model, the probability distribution of physiological big data features is calculated, and then according to the probability of feature points. It constructs a health status assessment model by dividing characteristic probability intervals. Finally, the influence of traditional sports on the physical and mental health of college students is analyzed and studied. The experimental results show that college students must insist on traditional sports more than 2 times a week, preferably no less than 1 hour a day, which has a significant effect on improving the mental health of college students.
ISSN:1530-8669
1530-8677
DOI:10.1155/2022/4094412