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Polymer Optical Fiber Sensors in Wearable Devices: Toward Novel Instrumentation Approaches for Gait Assistance Devices

机译:穿戴式设备中的聚合物光纤传感器:迈向步态辅助设备的新型仪器方法

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This paper presents the application of polymer optical fiber (POF) sensors in wearable devices for gait assistance. Intensity variation-based POF curvature sensor for the acquisition of joint angles and a POF insole based to detect gait events were developed. Three wearable devices were employed for the practical validation of the developed sensors: an active orthosis with one degree of freedom, a robotic exoskeleton, and a functional electrical stimulation (FES) system for gait assistance. POF is a viscoelastic material, which does not have a constant response to stress or strain and also can present hysteresis in dynamic measurements. In order to mitigate these effects, a compensation technique based on the polymer viscoelastic features was applied on both the curvature sensor and the instrumented insole. The results obtained for the POF curvature sensor on the knee joint angle measurement of the orthosis and the exoskeleton show root mean squared error of 3.7° and 3.8°, respectively. Regarding the POF insole results, it was used to identify five gait events in the FES system application. The reported results pave the way for new instrumentation approaches in wearable devices with flexible sensors that can be especially desirable in the rigid robots presented but also in soft robotics applications.
机译:本文介绍了高分子光纤(POF)传感器在步态辅助可穿戴设备中的应用。开发了用于获取关节角度的基于强度变化的POF曲率传感器和用于检测步态事件的基于POF鞋垫的技术。三个可穿戴设备用于开发的传感器的实际验证:具有一个自由度的主动矫形器,机器人外骨骼和用于步态辅助的功能性电刺激(FES)系统。 POF是一种粘弹性材料,它对应力或应变没有恒定的响应,并且在动态测量中也会出现滞后现象。为了减轻这些影响,将基于聚合物粘弹性特征的补偿技术应用于曲率传感器和仪表内底。在矫形器和外骨骼的膝关节角度测量中,使用POF曲率传感器获得的结果分别显示出3.7°和3.8°的均方根误差。关于POF鞋垫的结果,它用于识别FES系统应用程序中的五个步态事件。报告的结果为具有柔性传感器的可穿戴设备中的新仪器方法铺平了道路,这在展示的刚性机器人以及软机器人应用中尤其理想。

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