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Suitability of Strain Gage Sensors for Integration into Smart Sport Equipment: A Golf Club Example

机译:应变计传感器适合集成到智能运动设备中的适用性:一个高尔夫球杆示例

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摘要

Wearable devices and smart sport equipment are being increasingly used in amateur and professional sports. Smart sport equipment employs various sensors for detecting its state and actions. The correct choice of the most appropriate sensor(s) is of paramount importance for efficient and successful operation of sport equipment. When integrated into the sport equipment, ideal sensors are unobstructive, and do not change the functionality of the equipment. The article focuses on experiments for identification and selection of sensors that are suitable for the integration into a golf club with the final goal of their use in real time biofeedback applications. We tested two orthogonally affixed strain gage (SG) sensors, a 3-axis accelerometer, and a 3-axis gyroscope. The strain gage sensors are calibrated and validated in the laboratory environment by a highly accurate Qualisys Track Manager (QTM) optical tracking system. Field test results show that different types of golf swing and improper movement in early phases of golf swing can be detected with strain gage sensors attached to the shaft of the golf club. Thus they are suitable for biofeedback applications to help golfers to learn repetitive golf swings. It is suggested that the use of strain gage sensors can improve the golf swing technical error detection accuracy and that strain gage sensors alone are enough for basic golf swing analysis. Our final goal is to be able to acquire and analyze as many parameters of a smart golf club in real time during the entire duration of the swing. This would give us the ability to design mobile and cloud biofeedback applications with terminal or concurrent feedback that will enable us to speed-up motor skill learning in golf.
机译:可穿戴设备和智能运动设备正越来越多地用于业余和专业运动中。智能运动器材采用各种传感器来检测其状态和动作。正确选择最合适的传感器对于运动器材的高效成功运行至关重要。当集成到运动器材中时,理想的传感器不会受到阻碍,并且不会改变器材的功能。本文重点介绍了用于识别和选择适合集成到高尔夫球杆中的传感器的实验,其最终目标是在实时生物反馈应用中使用它们。我们测试了两个正交固定的应变计(SG)传感器,3轴加速度计和3轴陀螺仪。应变计传感器在实验室环境中通过高精度Qualisys Track Manager(QTM)光学跟踪系统进行校准和验证。现场测试结果表明,通过将应变计传感器安装到高尔夫球杆的杆身上,可以检测到不同类型的高尔夫挥杆动作和高尔夫挥杆动作早期的不正确运动。因此,它们适用于生物反馈应用,以帮助高尔夫球手学习重复的高尔夫挥杆动作。建议使用应变计传感器可以提高高尔夫挥杆技术错误检测的准确性,并且仅应变计传感器就足以进行基本的高尔夫挥杆分析。我们的最终目标是能够在挥杆的整个过程中实时获取和分析许多智能高尔夫球杆的参数。这将使我们能够设计具有终端或并发反馈的移动和云生物反馈应用程序,从而使我们能够加快高尔夫运动技能的学习速度。

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