[This retracts the article DOI: 10.1155/2022/2585108.].

/pdf/retracted-data-mining-and-analysis-of-management-theory-on-rvt91p4x.pdf

Retracted: Data Mining and Analysis of Management Theory on the Emotional Recognition of Students' Physical Fitness Improvement

In sports dance (SPD) education, it is common to give excessive value on technique while ignoring emotion. This issue causes emotions and motion to be poorly integrated, which negatively impacts the educational result. As a result, this study employs a sensor to gather video data from SPD performers and then extracts the crucial characteristic spots to estimate their poses. This study proposes unique capuchin search-driven bi-directional tuned recurrent network (CS-BRN) architecture to efficiently categorize dancers' emotions. Additionally, the arousal value can be used to categorize the arousal valence (AV) emotional paradigm into various parts. The AV paradigm performs superior in high and low fields, which correlate to exciting, nervous and mild feelings, respectively. We employed metrics to evaluate this study's performance like precision (90%,) accuracy (96%), F1-score (92%), recall (91%), The findings of the trial demonstrate that the suggested method has a high degree of emotional recognition accuracy and can precisely identify the crucial moments in the performers' technical motions. This study significantly aided in the emotional identification and alleviation of SPD participants during the education procedure by precisely identifying the crucial parts of their technical motion presentations.

Research on dance teaching methods based on emotion recognition and emotion analysis

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.

/pdf/data-mining-and-analysis-of-management-theory-on-the-159659ex.pdf

Data Mining and Analysis of Management Theory on the Emotional Recognition of Students' Physical Fitness Improvement

In the information age, “mobile Internet,” “cloud computing,” “Internet of Things,” and “data mining” concepts are emerging at the same time, as well as other fields of related data-based applications. The mobile application will be born as a result. Therefore, in the information age, big data, which involves information in a specific key or specialized field, has gradually begun to receive a lot of attention in recent years. In 2011, the US consulting firm McKinsey and Company first proposed the arrival of the “era of big data” and in August 2015 in China’s State Council issued a notice of action outline “to promote the development of big data.” Meanwhile, big data has gradually become an important factor in driving national reform and innovation, promoting scientific and technological progress, improving the way society is managed, and guiding changes in education and research. Big data is driving a very influential shift in thinking in an era where big data is changing the way we live, becoming the way we understand the world, and gradually becoming the source of new inventions and services. At the same time, the rapid development of big data technology for physical education teachers needs big data for management and training and other institutional managers to provide more effective ways and means of education management, but up to now, the status of big data for management is still another serious challenge, sports and training and other institutions of big data and processing process of data nonintelligent, nonclosed-loop processing, data nonlinked processing, etc. Many problems are also still very obvious. According to the new characteristics of sports big data refinement management, the current situation of sports professional training institutions teacher management, combined with sports training institutions to find some more practical sports training institutions teachers big data management methods can effectively improve the efficiency of management, teacher team building, strengthen sports training institutions to improve the quality of teaching teachers, and promote the overall quality of students have a positive impact. In this paper, we combine the characteristics of “big data” and the construction of teachers in sports training institutions, and put forward some suggestions on how to improve the level of teachers in sports training institutions in the era of big data and conclude that the construction of teachers in sports training institutions should seize the key era now and enter the “|big data era.” We conclude that the construction of teachers in sports training institutions should seize the critical era and enter the “big data era,” so as to rely on science and technology to improve the construction system of teachers in sports training institutions.

/pdf/multisource-analysis-of-big-data-technology-accessing-data-3k4sbn33.pdf

Multisource Analysis of Big Data Technology: Accessing Data Sources for Teacher Management of Sports Training Institutions

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Data Mining and Analysis of Management Theory on the Emotional Recognition of Students' Physical Fitness Improvement

Multisource Analysis of Big Data Technology: Accessing Data Sources for Teacher Management of Sports Training Institutions