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首页> 外文期刊>Procedia Manufacturing >Local Euler Angle Pattern Recognition for Smash and Backhand in Badminton Based on Arm Position
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Local Euler Angle Pattern Recognition for Smash and Backhand in Badminton Based on Arm Position

机译:基于手臂位置的羽毛球反击局部欧拉角模式识别

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摘要

Badminton is the most favourite sport in Indonesia. Since elementary school or earlier, children play badminton in a formal class or informal games. So, there are so many kind of styles in playing badminton. In this research, the pattern of arm kinesiology while playing badminton was studied, especially smash and backhand. The right arm of human was segmented into four parts: shoulder, elbow, wrist and back of hand. The 3-dimension local Euler angle of each parts was recorded by using gyro sensor made by Motion Node. The pattern of the segment position was investigated to distinguish smash and backhand. The result shows that there was a clear pattern caused by the movement of four parts of arm while performing smash and backhand. This pattern can be used to evaluate a process of arm moving while performing smash or backhand in badminton.
机译:羽毛球是​​印度尼西亚最受欢迎的运动。从小学或更早开始,孩子们在正式班级或非正式比赛中打羽毛球。因此,打羽毛球有很多种风格。在这项研究中,研究了打羽毛球时手臂运动的形态,特别是击球和反手。人类的右臂分为四个部分:肩膀,肘部,腕部和手背。使用Motion Node制造的陀螺仪传感器记录每个零件的三维局部欧拉角。研究了分段位置的模式以区分粉碎和反手。结果表明,在进行粉碎和反手时,手臂的四个部分的运动引起了清晰的图案。此模式可用于评估羽毛球粉碎或反手时手臂移动的过程。

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