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Sport Skill Evaluation with Wearable Sensors and Statistical Analysis

机译:可穿戴传感器的运动技能评估和统计分析

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This research discusses sport skill evaluation with wearable sensor and statistical analysis. Skateboarding is selected as the target sport to analyze because it will be an official competition in Tokyo 2020 Olympic Games. Skateboarding is one of the difficult sports because of controlling balance to move forward and to get speed on flat ground. The balance control is a basic trick named Tic-Tac, while the trick is difficult for beginners. To make data set for analyzing Tic-Tac skill, we have provided a basic lesson to research participants. After giving them enough self-training time, we put two inertial sensors on a skateboard and waist of a research participant and got total 41 running data with Tic-Tac. According to the result of statistical analysis on the data, we confirmed that swinging a skateboard left and right is the most important motion to generate moving forward driving forth. This result means that inertial sensors are one of the effective tools to evaluate sport skill for sports science and physical education.
机译:这项研究讨论了可穿戴式传感器的运动技能评估和统计分析。滑板运动被选为要分析的目标运动,因为它将是2020年东京奥运会的正式比赛。滑板运动是一项艰巨的运动,因为要控制平衡以向前移动并在平坦的地面上加快速度。平衡控制是一个名为Tic-Tac的基本技巧,而对于初学者则很难。为了制作用于分析Tic-Tac技能的数据集,我们为研究参与者提供了基础课程。在给他们足够的自我训练时间之后,我们在研究参与者的滑板和腰部上放置了两个惯性传感器,并使用Tic-Tac获得了总共41个跑步数据。根据对数据的统计分析结果,我们确认,左右摇摆滑板是产生向前行驶最重要的动作。这一结果意味着惯性传感器是评估体育科学和体育运动技能的有效工具之一。

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