Monitoring of Physical Fitness and Tactical Ability Based on Data-Driven Technology

Abstract

Tennis is a competitive sport, which requires players to have good physical fitness and long-lasting endurance. Monitoring the physical training and technical and tactical abilities of tennis players is a necessary work to improve the physical fitness and competitive status of tennis players. Monitoring the physical training and technical and tactical capabilities of tennis players is necessary to improve their physical fitness and competitive status. Most of the traditional monitoring systems are incomplete, inaccurate, and inefficient, which can no longer meet the requirements of tennis training monitoring in the new era. Therefore, it is urgent to establish an efficient and more accurate tennis training monitoring system. With the rise of big data, data-driven technology has been concerned about and frequently used. It means using data as a production material, applying it in a scientific way to business operations, and giving continuous positive feedback to facilitate business optimisation. This study selected tennis sports training, physical fitness, and technical and tactical abilities as the monitoring object, and it analyzed the monitoring system combined with the grey relation algorithm and TOPSIS algorithm. The experiment showed that the monitoring system based on data-driven technology can comprehensively and accurately monitor the physical ability and technical and tactical abilities of tennis sports training, and the accuracy improves by 5.9%.