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Online Monitoring of Swimmer Training Using a 3D Accelerometer Identifying Swimming and Swimming Style

机译:使用3D加速度计识别游泳和游泳风格的游泳者培训在线监测

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In the process of optimizing training efficiency and improving results of the athletes, technology has increasing share. Wearable sensors, especially those measuring motion are lately acquiring more and more interest. In this paper, we aimed to develop online monitoring tool of swimming training, more in particular algorithm for detection of swimming and turning events using 3D accelerometer. Additionally, algorithm should be able to discriminate between performed swimming styles. This study included data of 10 swimmers who swam on predefined protocol for 1200m. Each swimmer was equipped with wireless waterproof 3D accelerometer attached over right wrist. Algorithm showed high accuracy of 100% for detection of swimming and turning activity. Additionally, detection of swimming styles such as crawl, breaststroke and backstroke resulted of 100% true positive rate. However, true positive rate decreased to 95% for detection of butterfly event. To conclude, we demonstrate that swimming activity together with style recognition can be registered using wireless waterproof 3D accelerometer. Furthermore, we show that such detection can be automatized and performed in an online mode. Taken together, this development leads to a useful online monitoring tool of swimming training.
机译:在优化培训效率和改善运动员的结果的过程中,技术份额增加。可穿戴传感器,特别是那些测量运动最近获得越来越多的兴趣。在本文中,我们旨在开发游泳训练的在线监测工具,更多的是使用3D加速度计检测游泳和转动事件的算法。此外,算法应该能够区分在执行的游泳风格之间。本研究包括10个游泳者的数据,他们在预定义的协议上持续1200米。每个游泳运动员都配备了右手护腕的无线防水3D加速度计。算法显示出游泳和转动活动的高精度为100%。此外,检测爬行,蛙泳和跨程等游泳风格导致100%的真实速率。然而,检测蝴蝶事件的真正阳性率降至95%。为了得出结论,我们证明,可以使用无线防水3D加速度计登记游泳活动与风格识别。此外,我们表明这种检测可以在线模式自动化和执行。在一起,这种发展导致了一个有用的在线监测游泳训练工具。

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