Recognition Method of Sports Training Based on Intelligent Information Platform

Recognition Method of Sports Training Based on Intelligent Information Platform

Jianhua Bu, Dawei Yao, Chengmin Wang
Copyright: © 2023 |Pages: 8
DOI: 10.4018/IJeC.316872
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Abstract

With the wide development of sports nowadays, many kinds of sport applications have appeared and changed the living styles of people all around the world. There are many factors that are important for sports, such as the environment and exercise. At present, there are still some shortcomings in sports training management all around the world. For example, the unscientific is unclear, the training purpose is not strong, and the assistant decision-making means are backward. In this way, these issues jointly make the sport training process difficult. In this way, this paper applies the multi-agent technology to the system, designs an intelligent information sports training management and recognition method based on intelligent agents, and carries on the concrete implementation in certain environments. The corresponding experimental results indicate that the accuracy and intelligence of the training recognition system can be improved greatly and effectively.
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The training recognition system is a system which takes the computer as the main means, uses the theories and technologies of management science, operational research and control science, and intelligently supports the decision-making activities through the mutual communication and operation with the computer (Ejimabo et al. 2015s). The main focus of this paper was to help managers to make correct decisions using semi-structured or unstructured data, to improve the decision-making efficiency, and to create an intelligent working environment in which the knowledge information are shared.

Agent technology (Jack et al. 2015) is a kind of computer system or entity which can run autonomously in dynamic environment and has high autonomous ability. Be able to perceive the changes in different environments and actively make corresponding adjustments with the changes. Among the many studies of Agent, the most classic and widely taught is the discussion of “weak definition” and “strong definition” of Agent by Wooldridge et al. The most basic features of each Agent include autonomy (Wang et al. 2018), responsiveness, goal orientation, and environmental orientation. Strong definition adds spiritual concepts such as knowledge, goal, responsibility and ability on this basis (Li et al. 2021). How to solve the problem of mutual cooperation between Agent is one of the problems that people often encounter in the process of studying Agent.

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