Ahamed Suhana Jamil, McGeehan Michael, Ong Keat Ghee
Department of Bioengineering, Knight Campus for Accelerating Scientific Impact, University of Oregon, Eugene, OR 97403, USA.
Department of Human Physiology, University of Oregon, Eugene, OR 97403, USA.
Sensors (Basel). 2024 May 29;24(11):3498. doi: 10.3390/s24113498.
An optoelectronic sensor was developed to measure the in-plane displacement between two parallel surfaces. This sensor used a photodetector, which was placed on one of the parallel surfaces, to measure the intensity of the red (R), green (G), blue (B), and white/clear (C) light spectra of a broad-spectrum light that was reflected off a color grid on the opposing surface. The in-plane displacement between these two surfaces caused a change in the reflected RGB and C light intensity, allowing the prediction of the displacement direction and magnitude by using a polynomial regression prediction algorithm to convert the RGB and C light intensity to in-plane displacement. Results from benchtop experiments showed that the sensor can achieve accurate displacement predictions with a coefficient of determination > 0.97, a root mean squared error (RMSE) < 0.3 mm, and a mean absolute error (MAE) < 0.36 mm. By measuring the in-plane displacement between two surfaces, this sensor can be applied to measure the shear of a flexible layer, such as a shoe's insole or the lining of a limb prosthesis. This sensor would allow slippage detection in wearable devices such as orthotics, prostheses, and footwear to quantify the overfitting or underfitting of these devices.
开发了一种光电传感器来测量两个平行表面之间的平面内位移。该传感器使用一个放置在其中一个平行表面上的光电探测器,来测量从相对表面上的彩色网格反射的广谱光的红(R)、绿(G)、蓝(B)和白/透明(C)光谱的强度。这两个表面之间的平面内位移会导致反射的RGB和C光强度发生变化,通过使用多项式回归预测算法将RGB和C光强度转换为平面内位移,从而可以预测位移方向和大小。台式实验结果表明,该传感器能够实现准确的位移预测,决定系数>0.97,均方根误差(RMSE)<0.3毫米,平均绝对误差(MAE)<0.36毫米。通过测量两个表面之间的平面内位移,该传感器可用于测量柔性层的剪切力,如鞋底或肢体假肢的内衬。这种传感器将允许在诸如矫形器、假肢和鞋类等可穿戴设备中进行滑动检测,以量化这些设备的过度拟合或拟合不足情况。