Department of Biomedical Engineering, Faculty of Fundamental Problems of Technology, Wrocław University of Science and Technology, Wrocław, Poland.
Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland.
PLoS One. 2019 Feb 6;14(2):e0210260. doi: 10.1371/journal.pone.0210260. eCollection 2019.
Our objective was to examine how exercises with the second generation of the Microsoft Kinect sensor may aid in the process of motor learning in young judo practitioners. We addressed improvements in spatio-temporal accuracy during execution of three standing techniques in judo, in a simple paradigm designed to study short-term practice effects. Two groups of judokas, 12 athletes each-one aided with Kinect and our dedicated software vs a group of controls-were asked to mimic previously recorded master-level performances of the three techniques, established as benchmarks by a two times world champion in judo. In five training sessions, athletes of the aided group used a virtual-reality setup in which they trained with a virtual representation of the master displayed on a large screen with a simultaneous real-time visualisation of their own movements in the form of an avatar based on body joint localisation, as determined by Kinect, which also measured their performance. The control group used Kinect in the 1st and 5th session, which was necessary for the measurements that constituted the basis for subsequent statistical comparisons, whereas the 2nd, 3rd, and 4th session in this group was guided by a coach, without the use of the Kinect setup. In addition, athletes of the two groups had unrestricted access to a video recording of the master performing the three throws. We found statistically significant improvements (p < 0.05) in the accuracy of executing the three techniques between the 1st and the 5th training session for the aided group but not for the control group. We conclude that incorporating Kinect based exercises into a judo training programme may be a useful means to supporting motor learning, therefore enhancing training efficiency, and thus improving performance.
我们的目的是研究第二代微软 Kinect 传感器的运动如何帮助年轻柔道运动员的运动学习过程。我们在一个简单的范式中，研究了短期练习效果，以评估在执行柔道中的三种站立技术时，时空准确性的提高。我们要求两组柔道运动员（每组 12 名运动员）使用 Kinect 和我们专用的软件进行辅助，与对照组进行比较。对照组在没有 Kinect 的情况下，模仿由两次世界冠军确定的三个技术的大师级表演。在五次训练课程中，辅助组的运动员使用虚拟现实设置，在大屏幕上显示大师的虚拟表示，并通过基于 Kinect 确定的身体关节局部化的化身实时可视化自己的动作，同时进行训练。Kinect 还测量了他们的表现。对照组在第 1 次和第 5 次训练课程中使用 Kinect，这是构成后续统计比较基础的测量所必需的，而在第 2 次、第 3 次和第 4 次训练课程中，该组由教练指导，不使用 Kinect 设置。此外，两组运动员都可以不受限制地访问大师执行三个投掷的视频记录。我们发现，辅助组在第 1 次和第 5 次训练课程之间，在执行三种技术的准确性方面有统计学上的显著提高（p <0.05），但对照组没有。我们得出结论，将基于 Kinect 的运动纳入柔道训练计划可能是支持运动学习的有效手段，从而提高训练效率，进而提高表现。
