[Retracted] Impact of Sports Wearable Testing Equipment Based on Vision Sensors on the Sports Industry

Long-qiang, Chen; Shao-xiong, Yang

doi:10.1155/2021/2598721

Cited by 5 publications

(6 citation statements)

References 26 publications

(22 reference statements)

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“…As far as health is concerned, sports are as important as medical care. From the perspective of economic benefits, sports are even more important than medical care and should play more roles [ 10 , 11 ]. Many teachers' knowledge and accomplishment in the curriculum field are worrying, and they are generally narrow minded, with a lack of knowledge and lack of understanding of the new physical education curriculum, lack of understanding of the current situation and trend of physical education curriculum reform, and lack of preparation for adapting to the new physical education curriculum reform.…”

Section: Position and Function Of College Physical Education In Sport...mentioning

confidence: 99%

Discussion on the Rise of Healthy Chinese Sports Industry and the Training Mode of Compound Sports Talents

Liu

2022

Journal of Healthcare Engineering

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With the improvement of people's living standards and quality, sports charm stimulates people's awareness of sports consumption and makes sports industry develop rapidly into one of the important industries for the sustainable development of national economy. In modern society, sports industry has become a new industry with huge business opportunities. Especially, when the social economy develops to a certain level and sports form a certain scale, the interdependence, mutual support, and mutual promotion between sports and economy become more inseparable. This paper studies and discusses the training strategy of “compound” talents in sports industry under the background of healthy China strategy, in order to promote the development and innovation of China's sports industry. In terms of training sports talents, we should not only pay attention to personal technical, professional, practical, and understanding contents but also introduce some humanistic contents and social hot contents to improve the comprehensive quality of talents.

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Section: Position and Function Of College Physical Education In Sport...mentioning

confidence: 99%

Discussion on the Rise of Healthy Chinese Sports Industry and the Training Mode of Compound Sports Talents

Liu

2022

Journal of Healthcare Engineering

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“…In the process of establishing the training set, the probability that each sample will not be collected each time is p [12]:…”

Section: Research Plan For Intelligent Recognition Ofmentioning

confidence: 99%

Intelligent Recognition System of Sports Athletes’ Wrong Actions Based on AI+IoT

Zhang

2022

Wireless Communications and Mobile Computing

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How to effectively identify errors in athletes' movements, and then achieve the goal of correcting or eliminating them, is a problem that the sports world is currently trying to solve. Sports field is a field where sensor-based human movement recognition can play a role. Obtaining human body data through sensors can provide data basis for research on the characteristics of human movement, improvement of sports level, and technical movement analysis of sports. The main research direction of this paper is the AI+IoT joint recognition of human movements. The target human movements involved include standing, walking, running, shooting, jump shot, jumping, dribbling, walking dribbling, and running dribbling. Computer vision, as a branch of the artificial intelligence research field, uses computers to simulate human visual cognitive ability, excavate useful information from digitized images or videos without manual intervention, and strive to achieve human understanding of visual signals, and realize the ability to understand visual signals from a low level. Conversion of data input to high-level knowledge output. The system scoring module is the core functional module of the system. It extracts the angle feature of the trainer's skeleton data, finds the corresponding frame to correspond, and prompts the trainer's current standard degree of movement in the form of score. In terms of judgment accuracy, the accuracy of all subjects after watching the complete video is higher than the accuracy of the time blocking point, with extremely significant differences, r = -10.80, df =52, p < 0:001. This research improves the universality of target detection and extraction in the real natural environment of the machine vision system and improves the complexity and robustness of human action recognition.

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“…Ataei et al proposed among them, the chaos theory algorithm was first used to analyze atmospheric convection and then gradually applied to sports-related industries [ 3 ]. Chen and Yang proposed through dimensionality reduction analysis that the theoretical algorithm makes a “short analysis” of “continuous data,” which can analyze massive sports data, standardize the nonlinear and irregular fitness needs, calculate the aggregation degree and spatial distribution standard of the sports industry, and provide support for the spatial governance decision-making of the sports industry [ 4 ]. Drezet proposed that the results show that the chaos theory model is closer to the actual public demand in terms of sports industry agglomeration and sports spatial distribution [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

Analysis and Research on Sustainable Development Factors of the Sports Industry Based on Chaos Theory

Luo¹,

Gao²,

Yan³

et al. 2022

Journal of Environmental and Public Health

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The sports industry is an emerging industry with broad development prospects, and it is also full of competition. The sports industry has the characteristics of fluctuation, intermittence, and randomness, which are suitable for the analysis of chaos theory in order to find out the internal development law of the sports industry. In order to solve the above problems, an improved chaos theory method is proposed in this paper and the K-cluster analysis method is integrated into chaos calculation, in order to reduce the occurrence rate of the “local extreme value” and improve the accuracy of calculation results. The model uses nonlinear and irregular chaos theory to analyze the aggregation degree of sports industry, industrial spatial distribution, and the spatial governance effect and find out the best optimization decision. When selecting the optimization indicators, not only the European distance of each indicator cluster but also the spatial correlation of the indicators are considered to realize the comprehensive analysis of the sports industry and improve the accuracy of optimization. In the simulation analysis of optimization decision-making, the decision-making model based on chaos theory is compared with the previous first-order decision-making model. The results show that the improved chaos theory can control the data aggregation range of sports industry between (0∼3), the data fusion degree of industrial space between 95 and 99%, and the variation range between 0 and 0.2%, which is significantly better than (0∼9), 90∼95%, and 0∼0.4% of the genetic algorithm. Therefore, the aggregation degree, spatial governance, and decision optimization of the optimization decision-making model proposed in this paper are better than those of the previous genetic algorithm.

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[Retracted] Impact of Sports Wearable Testing Equipment Based on Vision Sensors on the Sports Industry

Cited by 5 publications

References 26 publications

Discussion on the Rise of Healthy Chinese Sports Industry and the Training Mode of Compound Sports Talents

Discussion on the Rise of Healthy Chinese Sports Industry and the Training Mode of Compound Sports Talents

Intelligent Recognition System of Sports Athletes’ Wrong Actions Based on AI+IoT

Analysis and Research on Sustainable Development Factors of the Sports Industry Based on Chaos Theory

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