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Investigation of Sensor Parameters for Kinematic Assessment of Steady State Running Using Foot Mounted IMUs

机译:脚安装IMU对稳态稳态运动评估传感器参数的研究

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The continuous sensing of kinematics provides an opportunity to monitor changes in sporting technique or to aid in injury rehabilitation. Inertial sensors are now small enough to integrate into footwear, providing a potential platform for continuous monitoring that does not require additional components to be worn by the athlete and can be used to assess foot kinematics during running. To facilitate widespread adoption, sensor systems must be as cheap as possible. To achieve this it is required that such systems be engineered with sampling rates that are not unnecessarily high and with sensor components that meet the requirements of the task, including required accuracy. We investigate multiple sensor parameters (sampling rate, acceleration range) and their effect on the accuracy of kinematic assessment using foot worn inertial sensors. We find that Extended Kalman Filter based trajectory recovery seems to be little affected by sampling rates until below 250Hz. We investigate impact accelerations using an inertial measurement unit attached to the foot and find that, at 250Hz, the acceleration signal peaks at up to 70g around heel strike.
机译:运动学的持续感应提供了监测体育技术变化或帮助伤害康复的机会。惯性传感器现在足够小,可以集成到鞋类中,为持续监测提供潜在的平台,不需要由运动员佩戴额外的部件,并且可用于在跑步期间评估脚踏运动学。为了促进广泛的采用,传感器系统必须尽可能便宜。为达到这一点,需要使用不必要地高的采样率和符合任务要求的传感器组件,包括所需的精度。我们研究了多种传感器参数(采样率,加速度范围)及其对使用足部磨损惯性传感器的运动学评估准确性的影响。我们发现扩展的基于卡尔曼过滤器的轨迹恢复似乎对采样率的影响很少,直到250Hz以下。我们使用连接到脚的惯性测量单元来调查影响加速,并在250Hz处发现加速信号峰值高达70克的脚跟撞击。

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