用于监测划船技术的身体传感器网络

R. King, D. McIlwraith, Benny P. L. Lo, J. Pansiot, A. Mcgregor, Guang-Zhong Yang
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引用次数: 41

摘要

本文介绍了一种用于监测划船过程中股骨和下背部(骶骨和胸腰椎连接处)运动学的原型。数据是从附着在桨上的惯性传感器收集的,并提出了一种简单但相对准确的方法来确定下背部和股骨在矢状面上的旋转。我们还介绍了使用光学跟踪系统进行初步验证实验的结果,该实验表明,使用所提出的传感器监测赛艇运动员是可能的,并确定了一些常见的划船技术。由于其体积小,无线功能和重量轻的特点,拟议的身体传感器网络(BSN)系统有可能在测力仪会议和水上训练期间使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Body Sensor Networks for Monitoring Rowing Technique
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.
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