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Development of a Wearable Sensor System for Measuring Body Joint Flexion

机译:用于测量体关节屈曲的可穿戴传感器系统的开发

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This paper presents a novel approach for measuring and monitoring human body joint angles using wearable sensors. This type of monitoring is beneficial for therapists and physicians as it allows them to assess patients' activities remotely. In our approach multiple flex-sensors are mounted on supportive cloth to measure the flexion of a joint. The changes in the resistivity of the flex-sensors are measured using an electronic board. We utilize an Extended Kalman Filter (EKF) to predict the joint angle based on the dynamic model of the joint movement and the measurements obtained from the flex-sensors. Due to variations in the measured angle by each sensor, the outputs are fussed to reduce the error and estimate the best value for the actual body joint angle. We evaluated the effectiveness and performance of our approach for measuring knee joint angle by comparing with the measured angles using goniometer. The result shows that the average of error is 6.92Ë with correlation of 0.98.
机译:本文介绍了一种使用可穿戴传感器测量和监测人体关节角度的新方法。这种类型的监测对治疗师和医生有益,因为它允许他们远程评估患者的活动。在我们的方法中,多个柔性传感器安装在支架上,以测量接头的屈曲。使用电子板测量柔性传感器电阻率的变化。我们利用扩展的卡尔曼滤波器(EKF)来基于关节运动的动态模型来预测接头角度和从柔性传感器获得的测量值。由于每个传感器的测量角度的变化,输出被阐述以减少误差并估计实际主体关节角度的最佳值。我们通过使用焦极计与测量角度比较来评估我们测量膝关节角度的方法的有效性和性能。结果表明,误差的平均值为6.92Ë相关性为0.98。

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