Abstract
Sports training strategies should be combined with science and technology to design the most suitable coaching strategies for athletes. In the current 5G Internet of Everything, the collection of wireless sensors and the deep learning of neural networks provide a new direction for the formulation of sports training strategies, guiding sports strategies to be more effective and scientific. This article aims to study and formulate sports training strategies, through the empowerment of science and technology, to better guide scientific training. With the help of the collection and sorting of sensors, the neural network allows deep learning of data, realizes human-computer interaction, and allows machines to better serve humans. This paper proposes an interactive control strategy for sports training, which enhances the interactive control of humans and machines and improves the level of training through the deep fusion of data. The experimental results of this article show that the human-computer interaction exercise training can better guide the exercise training and improve the training efficiency by 20%.
Highlights
With the continuous improvement of living standards, people are increasingly pursuing a rich spiritual civilization
Big data and the new era are constantly being used in life practice, and their use has pointed out the direction of scientific training for sports training. rough the deep fusion of sensors and neural networks, the machine will have better human-computer interaction, guide scientific sports training, and better help human athletes to exercise better
Nuhmani FIFA research investigated the influence of FIFA11+ program on sports performance parameters such as running speed, agility, and vertical jumping performance of amateur female basketball players. e study recruited and randomly selected 59 amateur female basketball players into the experimental group and the control group. e experimental group completed the 12-week FIFA 11+ program (3 times/week), while the control group members completed their regular training program. e current research shows that amateur female basketball players’ sports performance parameters such as sprint speed, agility, and vertical jump performance have not improved. e lack of improvement in FIFA 11+ program performance measures indicates that the program cannot be used as a training strategy for target sports performance parameters [3]
Summary
With the continuous improvement of living standards, people are increasingly pursuing a rich spiritual civilization. Zentgraf K studied the effectiveness of off-field cognitive training interventions for nonnovice, interactive sports athletes. Schulte-Frei studied pelvic floor disorders, eliminated contraindications for urinary incontinence, and outlined rehabilitation and preventive treatment methods He conducted a systematic literature review and found that the fundamental reason for the different prevalence of incontinence lies in structure, training control, tension, hormonal status, and psychological status. Chen X. researched and analyzed the training effects of FIFA 11+ and Harmoknee on several parameters measured by the physical performance of young amateur football players. He chose 41 young players to randomly divide each team into 2 groups. Introduction to the Principles and Methods of Wireless Sensor Networks and Neural Network Models
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