In recent years, with the development of information technology, the application of digital means in the field of sports has become increasingly extensive and deep. Competitive aerobics, as a traditional advantage project in the high-level university sports team, the innovation of its training methods is of great significance for improving athletic performance. However, the traditional training methods still have problems, such as inefficient and insufficient pertinence, which makes it difficult to meet the needs of modern training. Therefore, this paper designs the training method of university competitive aerobics from a digital background, obtains a scientific training strategy of university competitive aerobics in colleges, and provides theoretical guidance and practical path for its training. Method: This paper using literature method, experiment, mathematical statistics method, select 40 athletes as experimental randomly into experimental groupcontrol group 12 weeks of training interventionhe control group follow the traditional physical training, the experimental group follow three times a week combined with digital tools to practice hysical assessment test compare the test data of the two groups. Digital tools: (1) smart wearable devices; (2) motion capture system; and (3) motion data analysis platform. Test indicators: (1) 30s flexion leg jump; (2) 1min push-up; (3) 1min; (4) vertical jump touch height;(5) helicopter; (6) Shuangyi liuxin. After the experimental intervention, the muscle strength of both groups was improved. The performance of the experimental group at 30s was better than the traditional training, but the improvement of the effect in muscle endurance was not significant. (2) After the experimental intervention, the technical level of the two groups of athletes was improved to a certain extent, but the enhancement effect of the experimental group on the completion of difficult movements was. In the context of digitization, this study influences the competitive aerobics exercise training by using digital tools and makes an in-depth exploration and summary. Through the introduction of intelligent wearable devices, motion capture systems, and a motion data analysis platform, the digital and intelligent management of the training process is realized. These measures not only improve the training efficiency and accuracy but also promote the visualization and personalized development of the training process, providing a pathway for the improvement of athletic skills.
Yang et al. (2026) studied this question.