Sports Information Acquisition and Functional Training System Based on Multisensor Information Fusion

Ma, Zhonglin; Yu, Zhihao; Jing-shan, Zhang

doi:10.1155/2021/6941258

Cited by 2 publications

(2 citation statements)

References 15 publications

(9 reference statements)

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“…e fuzzy relationship between the load level, the pedaling amplitude and the pedaling frequency, and a certain pedaling amplitude corresponds to a certain pedaling frequency. Corresponding to a certain training load level, there are various combinations of pedaling amplitude and pedaling frequency, and each pair of pedaling amplitude and pedaling frequency corresponds to a certain pedaling force [17]. Under the condition of di erent pairs of pedaling frequency and pedaling amplitude, the pedaling force of the athlete is di erent.…”

Section: Training Load Target Decision Processmentioning

confidence: 99%

Application of Wireless Network Multisensor Fusion Technology in Sports Training

Tang

2022

Computational Intelligence and Neuroscience

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Fencing is an advantageous event for a country to participate in the Asian Games. The discussion and research on the means and methods of special fencing ability training are of great significance to the further development of fencing in the country. Based on the multisensor information fusion technology, this paper develops a special fencing training system with digital monitoring and intelligent decision-making. The multisensor information fusion technology scheme, which is reported in this paper, is used to perform decision-level fusion based on fuzzy inference technology whereas Kalman filter is used to optimize the original information. On the basis of the overall structure, mechanical mechanism, and performance analysis, the mechanical prototype of the fencing special ability training system was developed whereas design, processing, and debugging of the prototype were completed. Combined with the mechanical prototype design of various index parameter display structures based on multisensor information fusion technology, the digital processing of the fencing special ability training system is realized. The force, speed, position, and other characteristic quantities in the fencing special training system are collected by the pressure and rotational speed sensors respectively whereas USB communication technology is used for data transmission. On the basis of in-depth analysis of the characteristics of the special training system for fencing, an abstract system of pedaling power based on the center of gravity and trend models is designed where the Kalman filter is reserved for the special application fields. Moreover, the core role of Kalman filter is carried out when original data information is needed to be obtained. By constructing a force distribution pressure center trajectory measurement model, a training load and training parameter measurement model, and a training level evaluation model, the data-level raw information is specially processed to generate more training parameters that meet specific characteristics, making the multisensor information fusion technology more efficient. It is well integrated into the fencing special ability training system. By applying fuzzy reasoning technology, the special training parameters and the relationship between these parameters are transformed into fuzzy sets and fuzzy rules, and the perceptual knowledge of sports training experience is transformed into fuzzy rules. With this decision-level data fusion method, the fencing special training system has certain intelligent functions.

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Section: Training Load Target Decision Processmentioning

confidence: 99%

Application of Wireless Network Multisensor Fusion Technology in Sports Training

Tang

2022

Computational Intelligence and Neuroscience

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“…Secondly, in the process of actual testing, we should pay attention to the following points: firstly, we should cover each functional module comprehensively to ensure that all functions are fully tested; secondly, we should pay attention to the details, such as whether the input data is correct, whether the output results are as expected, etc. ; thirdly, we should record the results of each test for future debugging and repair work [10]. In addition, some automation tools can be used to assist in testing, such as unit testing framework, code quality checker, etc..…”

Section: Testing Processmentioning

confidence: 99%

Analysis and design of web-based college sports information system

Zhang

2023

Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023)

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The rapid development of information technology and the popularity of Internet technology have made the information of colleges and universities a trend of the times. In this environment, the issue of information security is also getting more and more attention. Therefore, it is very necessary and important to research and design the information system of colleges and universities, which is of great significance. As the knowledge of network communication technology and computer hardware and software system becomes more and more mature, and is rapidly applied to teaching, the data processing and storage work is gradually done electronically, which makes the traditional education mode change, so the college sports information system is born. This thesis focuses on the research and design of college sports information in a network environment using the B/S model.

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Sports Information Acquisition and Functional Training System Based on Multisensor Information Fusion

Cited by 2 publications

References 15 publications

Application of Wireless Network Multisensor Fusion Technology in Sports Training

Application of Wireless Network Multisensor Fusion Technology in Sports Training

Analysis and design of web-based college sports information system

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