General Education Department of Wuhan College, Wuhan, Hubei 430070, China.
Comput Intell Neurosci. 2022 Jun 6;2022:3081523. doi: 10.1155/2022/3081523. eCollection 2022.
During the last two decades, rapid development in the network technology has been observed, particularly hardware, and the development of software technology has accelerated, resulting in the launch of a variety of novel products with a wide range of applications. Traditional sports training systems, on the other hand, have a single function and a complex operation that cannot be fully implemented in colleges and universities, causing China's sports training to stagnate for a long time. The goal of physical education and training is to teach a specific action to attain its maximum potential in a variety of ways. As a result, we should use the system to collect scientifically sound and trustworthy data to aid relevant staff in completing their training tasks. Therefore, in the context of big data, network information technology has become the main way to improve the physical education system. By applying cloud computing technology, machine vision technology, and 64-bit machine technology to the physical education training system, extract the video data of the physical education system, design the system video teaching process, and complete the construction of three-dimensional human model, so as to analyze the training situation of the trainers. In this paper, 30 basketball majors in a university are selected as the professional group and 30 computer majors as the control group. The average reaction time, scores, and expert scores of the two groups are analyzed. The results show that the test of the professional group is significantly higher than that of the amateur group. At the same time, the feedback results of students using physical education and training system and normal physical education teaching and training are compared and analyzed. One week later, the students trained by the physical education system have improved their thinking ability, movement accuracy, and judgment ability, indicating that the application of the physical education training system to the actual effect is ideal.
在过去的二十年中，人们观察到网络技术，特别是硬件，得到了迅猛的发展，而软件技术的发展也在加速，这导致了各种具有广泛应用的新型产品的推出。另一方面，传统的体育训练系统功能单一，操作复杂，无法在高校中全面实施，使得中国的体育训练长期停滞不前。体育教育和训练的目的是通过多种方式教授特定的动作，使其达到最大潜力。因此，我们应该利用系统收集科学合理和可靠的数据，以帮助相关人员完成训练任务。因此，在大数据背景下，网络信息技术已经成为改善体育教育系统的主要方式。通过将云计算技术、机器视觉技术和 64 位机器技术应用于体育教育训练系统，提取体育教育系统的视频数据，设计系统视频教学过程，并完成三维人体模型的构建，从而分析教练员的训练情况。本文以某大学 30 名篮球专业学生为专业组，30 名计算机专业学生为对照组，对两组学生的平均反应时间、得分和专家评分进行了分析。结果表明，专业组的测试明显高于业余组。同时，对使用体育教育训练系统和正常体育教育教学训练的学生进行了反馈结果的对比分析。一周后，使用体育教育系统训练的学生提高了思维能力、动作准确性和判断能力，表明体育教育训练系统的实际应用效果理想。
