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Designing an e-Coach to Tailor Training Plans for Road Cyclists

机译:设计电子教练以定制公路骑自行车者的培训计划

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Athletes seek to constantly improve their performances pushing their limits and overwork is often the direct consequence of this behavior. This is not a common problem for professionals, who usually are followed by a coach, but it is a growing phenomenon in amateur sports, which drives people to get injured because of overtraining or incorrect movements. Meantime, advances in artificial intelligence enabled the creation of new tools increasingly capable of understanding the complexity of our world. We therefore propose a novel e-coaching system for road cycling athletes, able to automatically follow and tailor their training plans. This paper describes the design of the machine learning algorithm, its model based on reinforcement learning and the metrics that were adopted for the scoring system. Finally, we report our tests, which show that the virtual coach already can compete with human experts in making a proper personalized training plan.
机译:运动员寻求不断提高他们的表演,推动他们的极限,过度劳累往往是这种行为的直接后果。这不是专业人士的常见问题,他们通常是教练,但它是业余运动中不断增长的现象,这使得人们因过度训练或不正确的运动而受伤。与此同时,人工智能的进步使得创建新工具越来越能理解我们世界的复杂性。因此,我们为道路骑行运动员提出了一部新型电子教练系统,能够自动遵循和量身定制其培训计划。本文介绍了机器学习算法的设计,其基于加强学习的模型和评分系统采用的指标。最后,我们报告了我们的测试,这表明虚拟教练已经可以与人类专家竞争,以制定适当的个性化培训计划。

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