Relationship between Tennis Sports Ability Consumption and Sports Characteristics Based on the Fusion Sensor Internet of Things

Author:

Fu Ming1ORCID,Zhong Qun2,Dong Jixue3

Affiliation:

1. Department of Physical Education, Heilongjiang Bayi Agricultural University, Daqing 163319, Heilongjiang, China

2. School of Foreign Languages, Northeast Petroleum University, Daqing 163000, Heilongjiang, China

3. Faculty of Science, Heilongjiang Bayi Agricultural University, Daqing 163319, Heilongjiang, China

Abstract

In recent years, under the promotion of social informatization and knowledge economy, sports undertakings have accepted and introduced information technology. It has begun to move forward on the road of sports informatization. The purpose of this paper is to study the relationship between the consumption of tennis exercise ability and movement characteristics of the fusion sensor Internet of Things and introduce the related concepts of sensors and the Internet of Things, as well as the related meanings of tennis exercise ability consumption and movement characteristics. The development of real-time sports data monitoring network has become the core of informatization. It first extracts information from a large amount of data that is helpful for making scientific management decisions for athletes and then formulates scientific management decisions for sports training. Finally, the goal of improving the technical and tactical level of athletes is achieved through various intelligent equipment or manual control measures. A survey was conducted on eight boys who like tennis, and the results showed that when r = 0.34, the midfielder draws and blocks the ball and was weakly related to the energy in the recovery period; r < 0.3 midfield jump kill; total energy consumption during exercise and energy consumption in recovery period were almost irrelevant. The backcourt smash r = 0.533, indicating that the backcourt smash was moderately positively correlated with the energy consumption during the recovery period; the backcourt smash r = 0.826, indicating that the backcourt smash was highly positively correlated with the energy consumption during the recovery period.

Publisher

Hindawi Limited

Subject

Computer Networks and Communications,Computer Science Applications

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