This paper studies the effect of moisture on the handling performance of rugby balls, where different moisture conditions will cause a change in skin friction between finger pads and rugby balls. In this study, a set of rugby ball passing tests was performed under wet conditions to test the effect of skin hydration on the performance of ball handling. A comprehensive analysis was then conducted to assess skin frictional properties at various moisture levels. It was observed that skin moisture is strongly associated with the handling performance of rugby balls. Based on the collected experimental data, intelligent data-driven models were finally developed, including a neural network and a fuzzy rule-based system. These models will likely enhance the anticipation of the handling performance of rugby players, which helps in designing specific training programmes and better preparing for rugby games to cope with wet conditions.

中文翻译：

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潮湿条件下橄榄球球的处理性能分析和数据驱动建模

本文研究了水分对橄榄球球处理性能的影响，在这种情况下，不同的水分条件将导致手指垫和橄榄球球之间的皮肤摩擦发生变化。在这项研究中，在潮湿条件下进行了一组橄榄球球通过测试，以测试皮肤水合作用对球处理性能的影响。然后进行了全面的分析，以评估各种水分含量下的皮肤摩擦性能。观察到皮肤水分与橄榄球的处理性能密切相关。基于收集的实验数据，最终开发了智能的数据驱动模型，包括神经网络和基于模糊规则的系统。这些模型可能会增强人们对橄榄球运动员处理性能的预期，