Development of Racing Bicycle Position Control Device and Pedaling Exercise Analysis Software with Web Based Data Management Function for Improving Cycling Technique
Development of Racing Bicycle Position Control Device and Pedaling Exercise Analysis Software with Web Based Data Management Function for Improving Cycling Technique
复制标题
开发具有网络数据管理功能的竞赛自行车位置控制装置和蹬踏运动分析软件以提高自行车技术
DOI：
10.1007/s10015-014-0165-x
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发表时间：
2014
期刊：
影响因子：
--
通讯作者：
Tomoki Kitawaki
中科院分区：
文献类型：
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作者：
Tatsushi Tokuyasu;Shimpei Matsumoto;Shoma Kushizaki;Tomoki Kitawaki
为了最大限度地提高自行车运动员的竞技能力，许多研究都在研究如何使自行车部件的设置与自行车运动员的身体特性相适应。目前，既没有明确的政策，也没有有效的方法来设置自行车部件适合每个骑自行车的人已经建立，所以本研究的目的是开发一个系统，可以帮助寻找一个有效的设置自行车部件骑自行车的物理属性。该系统的一个特点是在蹬车运动中改变自行车设置，二是使实验获得的运动数据与自行车研究领域的研究人员共享。该系统是通过改进我们以前的实验装置和新构建的分析软件程序与基于Web的数据管理功能。该实验装置能自动控制踏板运动时鞍座和手柄的位置，同时测量多道表面肌电信号。分析软件程序使用Microsoft SQL Server构建，以有效管理大量的SEMG数据，此外，采用Web服务器技术，Apache和PHP，以便通过Internet访问，因此研究人员可以轻松使用所有实验数据，即使他们住在不同的位置。本文详细介绍了我们的实验系统，并通过实验总结了我们的发现。
To maximize the competitive ability of cyclist, many researches have been studied how to fit the setting of bicycle components against cyclist’s physical properties. At present, neither definitive policy nor effective method to set bicycle components appropriate for each cyclist have been established, so this study aims to develop a system that can assist to search an efficient setting of bicycle components for cyclist’s physical properties. The first feature of this system is to change the bicycle setting during pedaling exercise, and the second is to make the exercise data obtained by experiments sharable with researchers in the study field of cycling. The proposed system is developed by improving our previous experimental device and newly constructing an analysis software program with web-based data management function. The experimental device can automatically control the positions of both a saddle and a handle during pedaling exercise and measure multi-channel surface electromyography (SEMG) simultaneously. The analysis software program is constructed with Microsoft SQL Server to efficiently manage the huge volume of SEMG data, and additionally, web server technologies, Apache and PHP, are employed in order to be available through the Internet, so researchers can easily use all experimental data even if they live in different locations. The details of our experimental system are shown in this paper, and the summary of our findings through the experiments is also described.