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2 results on '"Junniao Meng"'

1. The Construction of Sports Health Management Model Based on Deep Learning

Author

Junniao Meng and Song Wang

Subjects
Biotechnology, TP248.13-248.65, Biology (General), QH301-705.5
Abstract

Deep learning is a new direction in the field of machine learning. It learns the inherent laws and representation levels of sample data. The information obtained in the learning process plays a great role in interpreting data such as text, images, and speech. Health management refers to the process of identifying, evaluating, and effectively intervening the health of individuals or groups of people. The purpose of this article is to build a sports health management model based on deep learning, to train students to actively take physical exercises, thereby promoting their physical fitness. This article first introduces related concepts such as deep learning and convolutional neural networks and then conducts an experimental exploration on the combination of convolutional neural networks and multilayer perceptrons. Secondly, this article designs a plan for sports health management of sports interventions and compares and analyzes the data before and after health management. The experimental results show that the average value of the overall health dimension after the experiment has reached 85.28, and the average value has reached a very high score, indicating that exercise intervention can effectively improve the physical fitness of students. At the same time, it improves the physical condition of students.

Published
2022
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2. College Physical Education Teaching Aided by Virtual Reality Technology

Author

Junniao Meng

Subjects
Medical education, Article Subject, Computer Networks and Communications, business.industry, Computer science, Teaching method, media_common.quotation_subject, TK5101-6720, Virtual reality, Information science, Computer Science Applications, Physical education, Technical support, Teaching philosophy, Environmental education, Telecommunication, Quality (business), business, media_common
Abstract

In recent years, College PE has received more and more attention. Traditional PE and teaching cannot meet the demand of students in today’s society and cannot attract students’ interest in sports. Under the current situation that the country actively promotes information science education, there is an urgent need to innovate PE teaching methods. VRT is very important to support college PE. In order to improve the quality of university PE and increase students’ interest in sports, this article uses the Internet of Things as a research background and 5G technology as a research topic. It provides technical support for the Internet of Things and research sports colleges on the Internet of Things. This study builds a virtual sports teaching environmental education through VRT. Experimental data were collected by sensors and other types of infrastructure. The experiment counted the number of sports safety incidents that occurred before and after the application of VRT in five universities of A, B, C, D, and E, collected and analyzed the teaching data of PE teachers in five universities, and studied the changes in student learning and interest in sports. These experimental data are used to analyze the impact of the application of VRT in PE on sports safety, PE teachers, and students. The final result shows that, after applying VRT in PE, the five schools have reduced the number of safety incidents in sports by more than 65%. VRT has the greatest impact on the teaching philosophy of PE teachers and the least impact on teachers’ teaching management. After the application of VRT, the number of students who independently engage in PE and sports has increased by more than 20%, and the students’ interest in sports learning and sports has increased. Finally, the application of VRT in the PE of the five schools accounted for 25%, 21%, 11%, 35%, and 30%, respectively. The application of VRT will also indirectly affect the quality of PE in universities.

Published
2021

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