Training Method for Amateur Sports in Schools Dependent on Time Series Data

Wan, Nan; Lü, Wei

doi:10.1109/icmtma.2019.00139

Cited by 2 publications

(3 citation statements)

References 8 publications

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“…With the development of sports training practice and the deepening of people's understanding of the connotation and extension of sports training, more and more people have gradually realized that modern sports training is a process of specialized training for athletes, which continuously improves their performance. It is a process in which competitive ability is its primary objective [10,11]. For an athlete to engage in competitive training to reach the peak of individual competitive training through systematic training, it is a phased, continuous, and complete training process.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Sports Training System Based on Artificial Intelligence and Big Data

Cui

2021

Mobile Information Systems

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All activities in training fields are for the improvement of athletes’ competitive abilities. A sports training system is an organizational system to achieve common goals. Competitive ability is one of the main manifestations of the evolution of the training system. With the rapid development of computer technology, people have begun to combine virtual reality and other technologies to achieve scientific sports-assisted training to eliminate traditional sports training that relied purely on experience. Pose estimation obtains the position, angle, and additional information about the human body in the image in a two-dimensional plane or three-dimensional space by establishing the mapping relationship between the human body features and the human body posture. This article demonstrates a golf-assisted training system to realize the transformation from an experience-based sports training method to a human motion analysis method, using artificial intelligence and big data. The swing posture parameters of the trainer and the coach are obtained using the posture estimation of a human body. Based on this information, an auxiliary training system is built. The two parameters of the joint angle trajectory and the posture similarity are used as auxiliary indicators to compare the trainers. The joint angle trajectory is analyzed, and the coach is guided based on the similarity of the posture.

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Section: Introductionmentioning

confidence: 99%

Intelligent Sports Training System Based on Artificial Intelligence and Big Data

Cui

2021

Mobile Information Systems

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“…Sports training has emerged as a unique human activity as a result of the diversification and professionalization of today's competitive sports. e sporting performance continues to improve as more people become aware that modern sports training is specifically tailored to the needs of professional athletes [10]. e major purpose of this therapy is to increase an individual's ability to compete.…”

Section: Introductionmentioning

confidence: 99%

“…e solution is used to enforce a larger set of conditions while ensuring that the transfer function is the most restrictive set of variables. As an outcome, equation (10) represents the decision variables as it effectively reaches the optimum solution.…”

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confidence: 99%

The Effect of Physical Training of Athletes Based on Parametric Bayesian Estimation in the Context of Big Data

Xia³

2022

Mathematical Problems in Engineering

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Athletes must maintain their physical fitness in order to compete in any sport. The event can be organized for a single person or multiple people. Irrespective of the number of people or team participation in a sport, the people should have perfect training. The performance and physical fitness of the candidate will be measured under various categories, and the data will be stored in the database. The data to be collected about each event, player, coach, and others will result in the creation of big data with the aid of artificial intelligence and wireless networking. Wireless networking aids in the collection of data around the globe in a shorter period with the aid of intelligent servers. In this study, a recursive Bayesian estimation algorithm is implemented to perform the analysis of training and testing of the athlete’s performance with physical training. The proposed algorithm achieved an accuracy of 99%, which is a minimum increase in nine (09) percentage points over the neural network and an 18% growth over the fuzzy set model. The proposed models are able to analyze players’ success at a higher level based on their scores at each factor level. The experimental results show that the proposed model outperforms well in enhancing player performance.

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Training Method for Amateur Sports in Schools Dependent on Time Series Data

Cited by 2 publications

References 8 publications

Intelligent Sports Training System Based on Artificial Intelligence and Big Data

Intelligent Sports Training System Based on Artificial Intelligence and Big Data

The Effect of Physical Training of Athletes Based on Parametric Bayesian Estimation in the Context of Big Data

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