State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027, China.
Sensors (Basel). 2020 May 20;20(10):2892. doi: 10.3390/s20102892.
The foot arch index is an important index to evaluate the health of human feet and the biomechanics line, aiming at addressing the shortcomings of the low efficiency and slow speed of manual foot arch index measurement; in this work, an automatic foot arch index measurement method based on a flexible membrane pressure sensor was proposed. The distribution of plantar pressure data was obtained from the flexible membrane pressure sensor and converted into a digital image. The 8-neighborhood correlation pixel method was proposed to remove the interference of isolated noise points. In order to remove the toes' data without affecting the foot sole data, the row element association algorithm was proposed. The front and back endpoints of the foot were automatically located to obtain the foot length, and the foot arch index was also automatically obtained based on the foot arch pressure area. Whether it was a high arch foot, flat foot or normal foot, the method proposed in this paper could accurately and quickly distinguish them. The prototype was developed, and its feasibility and validity were verified by a series of tests.
足弓指数是评估人脚健康和生物力学线的重要指标，旨在解决手动足弓指数测量效率低、速度慢的问题；在这项工作中，提出了一种基于柔性膜压力传感器的自动足弓指数测量方法。从柔性膜压力传感器获得足底压力数据的分布，并将其转换为数字图像。提出了 8 邻域相关像素方法来消除孤立噪声点的干扰。为了去除不影响足底数据的脚趾数据，提出了行元素关联算法。自动定位脚的前后端点以获得脚长，并根据足弓压力区域自动获得足弓指数。无论足弓是高足弓、扁平足还是正常足，本文提出的方法都可以准确快速地进行区分。开发了原型，并通过一系列测试验证了其可行性和有效性。
