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Body Sensor Networks for Monitoring Rowing Technique

机译:用于监测划船技术的身体传感器网络

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This paper presents a prototype for monitoring the kinematics of the femur and lower back (sacrum and thoraco-lumbar junction) during rowing. Data is collected from inertial sensors attached to the rower and a simple yet relatively accurate method for determining the rotation of the lower back and femur in the sagittal plane is presented. We also present results from an initial validation experiment using an optical tracking system which demonstrate that it is possible to monitor rowers using the proposed sensors and identify some common poor rowing techniques. Due to their small size, wireless capability and lightweight characteristics, the proposed body sensor network (BSN) system has the potential to be used during ergometer sessions and whilst training on the water.
机译:本文介绍了在划船期间监测股骨和下背(骶骨和胸部腰部)的运动学的原型。从附着于划船的惯性传感器收集数据,并且呈现了一种简单且相对准确的方法,用于确定矢状平面中的下背部和股骨的旋转。我们还使用光学跟踪系统存在初始验证实验的结果,该光学跟踪系统表明可以使用所提出的传感器监控划花器并识别一些常见的较差的划船技术。由于它们的体积小,无线能力和轻质特性,所提出的身体传感器网络(BSN)系统具有在测力计会话期间使用的可能性,而在水上训练。

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