Sports Monitoring Method of National Sports Events Based on Wireless Sensor Network

Wang, Zhongxiao; Zhu, Dong

doi:10.1155/2021/5739049

Cited by 7 publications

(6 citation statements)

References 14 publications

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“…(1) Use the expression form of the human body's skeletal angle and its vector product to represent the trainer's movement data and sports movement standard data after the previous module's motion capture (2) The exercise data of the trainer is compared with the standard sports action data. If the exercise data of the trainer does not meet the threshold range (the speed at which 60% to 80% of the maximum oxygen uptake intensity is reached), the wrong action will be displayed on the screen in the form of an image to remind the trainer to correct the error [15,16].…”

Section: Action Analysis and Feedbackmentioning

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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Section: Action Analysis and Feedbackmentioning

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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“…It consists of two parts: autoregressive and moving average model. It has more superior spectral estimation characteristics and excellent resolution performance [20]. The expression of the model is as formula (6):…”

Section: Autoregressive Moving Averagementioning

confidence: 99%

Artificial Intelligence-Driven Model for Production Innovation of Sports News Dissemination

Wang¹

2022

Wireless Communications and Mobile Computing

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At present, the media’s application of artificial intelligence news production is still only at the preliminary exploration and practice stage, and some intelligent applications still have a long way to go from the technical idea to the real realization. This article proposes how to conduct research on the production innovation model of sports news communication based on the era of wireless network communication and artificial intelligence. This article is aimed at studying algorithms based on wireless network communication and artificial intelligence era and analyzes the effects of the two on the production innovation mode of sports news dissemination through neural network algorithms. People’s attention to sports has increased year by year, and the dissemination of sports news is constantly innovating in order to keep up with the pace of the times; so, it is also very important to develop new ways of disseminating sports news. With the development of artificial intelligence and wireless communications, more and more news dissemination methods have been developed, and traditional methods can no longer meet the needs of consumers. Therefore, the development of a new innovative production model for sports news dissemination by playing the role of wireless network communication and artificial intelligence is a problem currently attracting attention from scholars, and it is also a practical problem that needs to be solved.

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“…In addition, it also includes insufficient number of sports talents, low quality and unreasonable structure, low level of sports equipment and facilities, and weak brands; long-term planning is difficult to implement, and the winter sports market needs to be developed. erefore, in order to speed up the dissemination of sports data and promote the spirit of sports, blockchain technology should be used as soon as possible to integrate internal information more accurately and transparently, innovate the sports industry application development model, and ensure the transparency and openness of transactions [12].…”

Section: Introductionmentioning

confidence: 99%

Integration and Dissemination of Sports Big Data Based on Blockchain

Wang

Liu

2022

Mobile Information Systems

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With the ceaseless expanding of big data and the Internet, it has more and more affected people’s life. The collection and construction of information has become the front-end technology of current industrial development. News reports and self-media channels are also more extensive. As one of the sections of news reports, sports has also encountered opportunities and challenges in its dissemination. As an innovative technology, blockchain has brought new impetus to the development of sports industry. It is also driving new technological upgrades and visual experiences. Blockchain is a chain data structure that combines data blocks in a sequential manner according to time sequence and is a cryptographically guaranteed untameably and unforgeable distributed ledger. Sports communication has more development opportunities in modern life. Therefore, the purpose of this paper is to explore a new path of physical integration and dissemination based on the theory of blockchain, analyze the development and integration path in the application of blockchain technology, and explore their respective advantages and disadvantages. This article will use the research method of specific analysis of specific problems to make data comparison and draw a conclusion, to carry out theoretical innovation and exploration, so as to find a suitable model to promote the development of sports industry. The so-called “sports big data” refers to the analysis and application of data in sports scenarios. Combined with competitive sports, the significance of data analysis lies in improving the level of competition and preventing sports injuries. The research results show that sports companies using blockchain technology have increased their communication efficiency by 37%, and audience popularity has increased by 15% year on year. The decentralized and anonymous features of blockchain technology ensure the originality and enthusiasm of sports data news teams. Therefore, through the analysis of the selection of application scenes and technologies of the sports industry by the blockchain technology, combined with the characteristics of the current era, the transformation is fully absorbed and combined with a new perspective. This paper analyzes different application dilemmas and explores the development prospects, thus putting forward the implementation path of physical industry blockchain technology application.

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Sports Monitoring Method of National Sports Events Based on Wireless Sensor Network

Cited by 7 publications

References 14 publications

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

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

Artificial Intelligence-Driven Model for Production Innovation of Sports News Dissemination

Integration and Dissemination of Sports Big Data Based on Blockchain

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