Development of a High-Precision and Large-Range FBG-Based Sensor Inspired by a Crank-Slider Mechanism for Wearable Measurement of Human Knee Joint Angles

IF 3.4 Q2 ENGINEERING, BIOMEDICAL
Kaifeng Wang;Aofei Tian;Yupeng Hao;Chengzhi Hu;Chaoyang Shi
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Abstract

This article proposes a fiber Bragg grating (FBG) based angle sensor with an extensive measurement range and high precision for human knee joint measurement. The proposed sensor mainly comprises an angle-linear displacement conversion cam, a crank-slider mechanism-inspired conversion flexure, an optical fiber embedded with an FBG element, and a sensor package. The cam transforms the wide-range knee angle input into vertical linear displacement output. The conversion flexure further converts such vertical displacement into a reduced horizontal displacement/stretching applied to the optical fiber with a motion scale ratio of 6:1. The flexure design features a symmetrical structure to improve stability and depress hysteresis. The fiber is suspended on the flexure’s output beams with a two-point pasting configuration. Both theory analysis and finite element method (FEM)-based simulations revealed the linear relationship between the input angle and the fiber strain. Static and dynamic experiments have verified the performance of the proposed sensor, demonstrating a sensitivity of 62.03 pm/° with a small linearity error of 1.36% within [0, 140°]. The root mean square errors (RMSE) were 0.72° and 0.84° for angle velocities of 80°/s and 350°/s, respectively. Wearable experiments during sitting and walking have been performed to validate the effectiveness of the proposed sensor.
受曲柄滑块机制启发开发基于 FBG 的高精度大范围传感器,用于穿戴式人体膝关节角度测量
本文提出了一种基于光纤布拉格光栅(FBG)的角度传感器,测量范围广、精度高,适用于人体膝关节测量。该传感器主要由角度-线性位移转换凸轮、曲柄滑块机构启发的转换挠杆、嵌入 FBG 元件的光纤和传感器封装组成。凸轮将宽范围膝关节角度输入转换为垂直线性位移输出。转换挠性器进一步将这种垂直位移转换为施加到光纤上的减小的水平位移/拉伸,运动比例为 6:1。挠性结构设计采用对称结构,以提高稳定性并减少滞后。光纤以两点粘贴结构悬挂在挠性器的输出梁上。理论分析和基于有限元法(FEM)的模拟都显示了输入角度和纤维应变之间的线性关系。静态和动态实验验证了拟议传感器的性能,其灵敏度为 62.03 pm/°,在 [0, 140°] 范围内线性误差很小,仅为 1.36%。在角度速度为 80°/s 和 350°/s 时,均方根误差(RMSE)分别为 0.72° 和 0.84°。为了验证拟议传感器的有效性,还进行了坐姿和行走时的可穿戴实验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
6.80
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