Fan Jingang, Yu Le, Liu Jiabao
Department of Physical Education, Sichuan International Studies University, Chongqing 400031, China.
Graduate School, José Rizal University, Manila, Philippines.
Appl Bionics Biomech. 2022 May 9;2022:2585108. doi: 10.1155/2022/2585108. eCollection 2022.
The improvement of the economic level has brought earth-shaking changes to people's living standards. However, with the improvement of living standards, the pace of life is also accelerating, people's physical and psychological pressure has also increased sharply, and people's physical and mental health problems are also increasing. As an important threshold for talent training schools, real-time monitoring of students' physiques, and effective training of students' physical fitness, so schools need to strengthen the scientific management of students' work and rest and exercise according to management theory. To better pay attention to the correlation between students' physical fitness and psychological emotions, this paper designs a data analysis system for students' physical health based on data mining, analyzes the improvement of students' physical fitness under health management, and then identifies students' emotions according to this to observe the impact of students' physical fitness improvement on emotional changes, so as to effectively improve students' physical health level and mental health level. The experimental results of the research system in this paper show that the improvement of students' physical fitness can promote students' emotional recognition, and its accuracy can be improved by at least 2%, and various types of emotions can be accurately identified, indicating that changes in students' physical fitness have a certain impact on student emotions.
经济水平的提高给人们的生活水平带来了翻天覆地的变化。然而，随着生活水平的提高，生活节奏也在加快，人们的身心压力也急剧增加，身心健康问题也日益增多。作为人才培养学校的重要门槛，实时监测学生体质，有效训练学生体能，因此学校需要依据管理理论加强对学生作息和锻炼的科学管理。为了更好地关注学生体能与心理情绪之间的相关性，本文设计了一种基于数据挖掘的学生身体健康数据分析系统，分析健康管理下学生体能的提升情况，然后据此识别学生情绪，观察学生体能提升对情绪变化的影响，从而有效提高学生的身体健康水平和心理健康水平。本文研究系统的实验结果表明，学生体能的提升能够促进学生的情绪识别，其准确率至少可提高2%，且能准确识别各类情绪，表明学生体能的变化对学生情绪有一定影响。
