Suppr超能文献

一种自由泳游泳方向上质心速度的实用估算方法。

A Practical Estimation Method for Center of Mass Velocity in Swimming Direction During Front Crawl Swimming.

作者信息

Matsuda Yuji, Sakurai Yoshihisa, Akashi Keita, Kubo Yasuyuki

机构信息

1 Japan Institute of Sports Sciences.

出版信息

J Appl Biomech. 2018 Aug 1;34(4):342-347. doi: 10.1123/jab.2017-0188. Epub 2018 Jul 10.

Abstract

Center of mass (CoM) velocity variation in swimming direction is related to swimming performance and efficiency. However, it is difficult to calculate the CoM velocity during swimming. Therefore, we aimed to establish a practical estimation method for the CoM velocity in swimming direction during front crawl swimming with underwater cameras. Ten swimmers were recorded during front crawl swimming (25 m, maximal effort) using a motion capture system with 18 underwater and 9 land cameras. Three CoM velocity estimation methods were constructed (single-hip velocity, both-hips velocity, and both-hips velocity with simulated arm velocity correction). Each model was validated against the actual CoM velocity. The difference between the single-hip velocity and the actual CoM velocity in swimming direction was significantly larger compared with that of the other 2 models. Furthermore, the accuracy of CoM velocity estimation was increased when both-hips velocity was corrected using the simulated arm velocity. The method allowed estimation of the CoM velocity with only 2 underwater cameras with a maximal difference of 0.06 m·s. This study established a novel and practical method for the estimation of the CoM velocity in swimming direction during front crawl swimming.

摘要

游泳方向上的质心(CoM)速度变化与游泳表现和效率相关。然而,游泳过程中计算质心速度较为困难。因此,我们旨在利用水下摄像机建立一种实用的自由泳游泳方向质心速度估计方法。使用一个配备18个水下摄像机和9个陆地摄像机的动作捕捉系统,记录了10名游泳者的自由泳(25米,全力)过程。构建了三种质心速度估计方法(单髋速度、双髋速度以及模拟手臂速度校正后的双髋速度)。每种模型都与实际质心速度进行了验证。与其他两种模型相比,单髋速度与游泳方向实际质心速度之间的差异显著更大。此外,使用模拟手臂速度校正双髋速度时,质心速度估计的准确性有所提高。该方法仅用2个水下摄像机就能估计质心速度,最大差异为0.06米·秒。本研究建立了一种新颖实用的自由泳游泳方向质心速度估计方法。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验