[Retracted] Using Big Data‐Based Neural Network Parallel Optimization Algorithm in Sports Fatigue Warning

Sun, Yong; He, Yongtao

doi:10.1155/2021/2747940

Cited by 5 publications

(6 citation statements)

References 25 publications

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“…The data warehouse approach involves creating a data warehouse to store data. Basically, data replication is done by copying data from each data source to the same location, the data warehouse [8].…”

Section: Sports Big Data Integration and Resource Interaction Methodsmentioning

confidence: 99%

Integrating the Big Data in Sports and Resource Interaction Using Artificial Neural Network

Zhang

2022

Mobile Information Systems

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Big data is the result of balancing computing power with the need for large, rapidly updated, and comprehensive datasets and is now widely used in urban planning, medicine, and other fields. With the advent of the era of big data, the sports industry must also adapt to this change. The era of big data brings new ideas to the development of sports resource interaction. At the same time, the demand for a high-efficiency and high-performance sports big data integration system is imminent. The interaction between college sports and community sports realizes the improvement of the practical ability of the two institutions and departments through the satisfaction of people’s own needs. And it affects people’s lifelong sports and health by improving external conditions to internal factors. It improves the quality of life and maintains social stability and peace, thereby ensuring the better development of the university and the community. At present, the speed of data integration in the sports big data integration system is relatively slow. In order to solve this problem, this study introduces BP neural network in the artificial neural network. It introduces the concept of the neural network and its related formulas in detail. By using the BP neural network classification algorithm for data classification integration, this study conducts training and performance testing of the network. It links the extraction, transformation, and loading of data. The experimental results show that when the number of databases is 2, 4, 6, and 8, the time taken to load data by the system in this study is 113 s, 87 s, 64 s, and 42 s, respectively. It can be seen that the system in this study has obvious advantages in data loading compared with the data integration system of the existing system data warehouse. The system data query designed in this study is more efficient and consumes less time.

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Section: Sports Big Data Integration and Resource Interaction Methodsmentioning

confidence: 99%

Integrating the Big Data in Sports and Resource Interaction Using Artificial Neural Network

Zhang

2022

Mobile Information Systems

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“…Now, several image smoothing methods are briefly introduced. Image smoothing methods are divided into two categories: spatial domain methods and frequency domain methods, mainly including domain averaging methods and low-pass filtering methods [17,18].…”

Section: Development Of Sports Health Detection Systemmentioning

confidence: 99%

Health Detection System for Sports Dancers during Training Based on an Image Processing Technology

Zhang

2022

Applied Bionics and Biomechanics

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Dance sport is a competition of athletes for qualities such as speed, strength, endurance, flexibility, and coordination, requiring a high level of overall physical fitness. As China’s sports fever continues to heat up, especially among students, the active nature of young people can lead to overenthusiasm for sports, dance, and other sports, which can lead to various physical discomforts during sports. Especially in the current sports habits of students, there is a great hidden danger of sports injuries. It is mainly due to excessive exercise, irregular exercise methods, and incomplete sports protective equipment. On this basis, this study proposes a model to further assess the health status of individuals and groups from the rate of energy consumption during exercise by building a real-time motion detection system. The development of sports health assessment systems, including the application of imaging techniques, is also analyzed. The experimental results in this article show that when the error threshold is set to 10%, the accuracy of the model is 85%, and the obtained results are ideal.

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“…4IR has attracted considerable academic attention as a new trend towards automation and as a positive response to the lack of growth of new industries [17]. The field of sports medicine under the influence of 4IR has also seen a part of emerging research in the 21st century, such as sports medicine and artificial intelligence [8], biomimetic materials in sports medicine [18,19], the use of big data in sports medicine [20,21]. The impact of 4IR on the field of sports medicine is also much more than what has been mentioned, according to a search on PubMed it was found that keywords related to 4IR…”

Section: Technologies Directly Related To 4irmentioning

confidence: 99%

A Comparison Study of Sport Medicine Research Trend Before and After the 4th Industrial Revolution: A Systematic Review

2023

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OBJECTIVES The purpose of the study is to explore the changing trend of research keywords in the field of sports medicine the contributions of outstanding authors, institutions, and countries participating in the research, and the technologies directly related to the 4th Industrial Revolution (4IR) in the field of 4IR sports medicine before and after 4IR.METHODS The sample data of this study was retrieved from all the bibliographic information of the top two journals in the sports medicine field (i.e. Sports Medicine and British Journal of Sports Medicine). A bibliometric analysis was carried out by using CiteSpace, and python was used for further text mining on the key nodes in the analysis results.RESULTS The study has found that cardiovascular disease has always been popular in the research field of sports medicine; improving people’s quality of life and avoiding the risk of disease through physical activity, as long as research related to cruciate ligament may appear frequently again in the next few years. After 4IR, the field of sports medicine began to shift from a single study of epidemiology to multidimensional research of epidemiology, preventive medicine and psychology; the population characteristics of the researches began to be more segmented. Also, more collaboration between authors, institutions and institutions involved in sports medicine research has found. Germany and hospitals have become emerging forces after 4IR, and meta-analysis and systematic review are common concerns of Germany and hospitals. The impact of 4IR on sports medicine is mainly manifested in the application of sensors, intelligent monitoring, metabolomics and genomics, which having a great prospect in application.CONCLUSIONS The study sorted out the changes in research trends in the field of sports medicine before and after 4IR, and at the same time proved that the impact of 4IR on sports medicine has already existed, and more scholars need to pay attention. 4IR has brought new forces and new trends to the field of sports medicine, which deepened the research cooperation in this field. Wearable devices, intelligent monitoring, metabolomics, and genomics have applied and had a positive developing trend in sports medicine field.

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[Retracted] Using Big Data‐Based Neural Network Parallel Optimization Algorithm in Sports Fatigue Warning

Cited by 5 publications

References 25 publications

Integrating the Big Data in Sports and Resource Interaction Using Artificial Neural Network

Integrating the Big Data in Sports and Resource Interaction Using Artificial Neural Network

Health Detection System for Sports Dancers during Training Based on an Image Processing Technology

A Comparison Study of Sport Medicine Research Trend Before and After the 4th Industrial Revolution: A Systematic Review

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