人工运动训练器的应用
On deploying the Artificial Sport Trainer into practice
摘要：
计算智能方法在单项运动训练计划的自动生成方面已经达到了成熟阶段。为了确认其附加值，这些方案已付诸实践。因此，已经开发了几种方法，用于在计算机上自动生成精心制定的训练计划，这些训练计划通常取决于过去体育活动的收集。然而，监控所执行的训练课程的实现仍然代表了在整体上使运动训练的过程自动化的瓶颈。本文的目的是提出一种新的低成本和高效的嵌入式设备，用于监测运动训练课程的实现，专门用于监测自行车训练课程。我们设计并开发了一款新型自行车计算机，即AST监视器，几乎可以轻松安装在每辆自行车上。上述自行车计算机基于Raspberry Pi设备，该设备支持不同的外部传感器，用于在实现运动训练课程期间捕获数据。一个调整后的GUI适合运动员的需求开发，随着硬件。在实践中使用AST-Monitor的概念验证研究揭示了所提出的解决方案自动监控已实现的运动训练课程的潜力。新设备还为未来在各种体育运动中利用人工智能打开了大门。
英文摘要：
Computational Intelligence methods for automatic generation of sport training plans in individual sport disciplines have achieved a mature phase. In order to confirm their added value, they have been deployed into practice. As a result, several methods have been developed for generating well formulated training plans on computers automatically that, typically, depend on the collection of past sport activities. However, monitoring the realization of the performed training sessions still represents a bottleneck in automating the process of sport training as a whole. The objective of this paper is to present a new low-cost and efficient embedded device for monitoring the realization of sport training sessions that is dedicated to monitor cycling training sessions. We designed and developed a new bike computer, i.e. the AST-Monitor, that can be mounted easily on almost every bicycle. The aforementioned bike computer is based on the Raspberry Pi device that supports different external sensors for capturing the data during the realization of sport training sessions. An adjusted GUI tailored to the needs of athletes is developed, along with the hardware. The proof of concept study, using the AST-Monitor in practice, revealed the potential of the proposed solution for monitoring of realized sport training sessions automatically. The new device also opens the door for the future utilization of Artificial Intelligence in a wide variety of sports.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
