Center for Bionics, Korea Institute of Science and Technology, Seoul 02792, Korea.
Display and Nanosystem Laboratory, School of Electrical Engineering, Korea University, Seoul 02841, Korea.
Sensors (Basel). 2020 Mar 30;20(7):1921. doi: 10.3390/s20071921.
This paper presents a wearable hand module which was made of five fiber Bragg grating (FBG) strain sensor and algorithms to achieve high accuracy even when worn on different hand sizes of users. For real-time calculation with high accuracy, FBG strain sensors move continuously according to the size of the hand and the bending of the joint. Representatively, four algorithms were proposed; point strain (PTS), area summation (AREA), proportional summation (PS), and PS/interference (PS/I or PS/I_α). For more accurate and efficient assessments, 3D printed hand replica with different finger sizes was adopted and quantitative evaluations were performed for indexlittle fingers (77 to 117 mm) and thumb (6878 mm). For index~little fingers, the optimized algorithms were PS and PS/I_α. For thumb, the optimized algorithms were PS/I_α and AREA. The average error angle of the wearable hand module was observed to be 0.47 ± 2.51° and mean absolute error (MAE) was achieved at 1.63 ± 1.97°. These results showed that more accurate hand modules than other glove modules applied to different hand sizes can be manufactured using FBG strain sensors which move continuously and algorithms for tracking this movable FBG sensors.
本文提出了一种可穿戴手部模块，它由五个光纤布拉格光栅（FBG）应变传感器和算法组成，即使在不同用户手部尺寸下佩戴也能实现高精度。为了实现实时高精度计算，FBG 应变传感器根据手部尺寸和关节弯曲情况连续移动。代表性地，提出了四种算法；点应变（PTS）、面积求和（AREA）、比例求和（PS）和 PS/干扰（PS/I 或 PS/I_α）。为了更准确和高效的评估，采用了具有不同手指尺寸的 3D 打印手复制件，并对食指小指（77 至 117 毫米）和拇指（68 至 78 毫米）进行了定量评估。对于食指小指，优化算法是 PS 和 PS/I_α。对于拇指，优化算法是 PS/I_α 和 AREA。可穿戴手部模块的平均误差角为 0.47 ± 2.51°，平均绝对误差（MAE）达到 1.63 ± 1.97°。这些结果表明，使用连续移动的 FBG 应变传感器和跟踪此可移动 FBG 传感器的算法，可以制造出比其他手套模块更适用于不同手部尺寸的更精确的手部模块。
