Flexible sensor with sensitivity correction function based on electrical impedance tomography principle

Abstract

The invention discloses a flexible sensor with a sensitivity correction function based on an electrical impedance tomography principle, and relates to the field of flexible region sensing. According to the present invention, external loads are applied to different positions in an area, the voltage signals before and after loading are collected from the electrodes evenly distributed at the edge of a sensing area, and the distribution of conductivity changes in the area caused by the external loads is obtained through impedance imaging; the distribution peak values obtained at all positions divides by the peak value obtained by loading in the center of the sensing area to obtain a calibration curve of which the ratio changes along with the positions; and a sensitivity correction matrix is constructed, matrix multiplication is carried out on the correction matrix and a reconstruction matrix in impedance imaging so as to obtain the distribution of conductivity change after sensitivity correction. According to the invention, flexible area sensing with uniform sensitivity distribution is realized, and the problem of position dependence of the sensitivity of a traditional area sensor is solved. The method is suitable for various sensing devices based on the electrical impedance imaging principle, and has a wide application prospect in the flexible man-machine touch interaction.

Description

technical field [0001] The invention relates to the technical field of flexible area sensing, and relates to a method for correcting position dependence of sensitivity of an electrical impedance imaging principle (electrical impedance tomography, EIT). Background technique [0002] The area sensing technology based on the principle of electrical impedance tomography (Electrical impedance tomography, EIT) is a sensing method that reconstructs the image of the loading signal in the sensing area only according to the boundary electrical signal. The advantage of continuous information has a wide range of applications in flexible sensing, medical monitoring and other fields. [0003] However, sensors based on the principle of electrical impedance imaging suffer from the location dependence of the sensitivity distribution, resulting in incomparable interpretations of the information strength at different locations. This problem seriously affects the application of the principle o...

AI Technical Summary

Problems solved by technology

Among them, the use of machine learning algorithms to replace the image reconstruction process of electrical impedance imaging can avoid the positional correlation of the inverse calculation results to a certain extent. However, the current machine learning algorithms have limitations in identifying the number of loading and multiple loading situations. Cannot completely replace the reconstruction process of electrical impedance imaging

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