Method for realizing piezoelectric pressure detection touch screen piezoelectric response uniformity by using neural network

Abstract

The invention discloses a method for realizing piezoelectric pressure detection touch screen piezoelectric response uniformity by using a neural network. Themethod for realizing piezoelectric pressuredetection touch screen piezoelectric response uniformity by using the neural networkcomprises the steps that a multilayer structure piezoelectric touch screen comprising an electrode array layer anda piezoelectric thin film layer is produced, a user operates according to prompt requirements,a voltage response signal of the touch screen electrode array layer is generated and collected, after a collected signal is subjected to data preprocessing, a neural network is trained based on a gradient descent method, and thusmapping relations between a non-uniform piezoelectric response and the position and strength of touch screen of the user are established correspondingly; then, during the using by the user, when the user touches a screen, the piezoelectric response signal is acquired, and thetrained neural network is used for mapping the piezoelectric response totouch screen position and touch screen pressure. According to the method for realizing piezoelectric pressure detection touch screen piezoelectric response uniformity by using the neural network, the complicated matching process before leaving a factory and the memory consumption caused by the establishment of a huge databaseare avoided, time, energy consumption, production line testing are saved, and detection precision is greatly improved.

Description

technical field [0001] The invention relates to a method for realizing uniform piezoelectric response of a piezoelectric pressure detection touch screen, in particular to learning the user's touch characteristics and the mechanical structure characteristics of the touch screen by using a neural network, which avoids the need to build a huge database in the traditional method The problem of memory consumption and the solution to the problem of reduced detection accuracy caused by unpredictable user touch characteristics. Background technique [0002] Touch screens have become an integral part of smart electronic devices today. Traditional touch screens utilize capacitive and resistive based technologies for position detection on a two-dimensional plane. However, with the increase in the amount of information interaction data between humans and computers, two-dimensional position detection can no longer meet the needs of users, so three-dimensional strength detection has ente...

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Problems solved by technology

[0003] In order to solve the inhomogeneous piezoelectric response of the piezoelectric touch screen in the prior art, the resource occupation and consumption problems caused by the existing matching method, and the technical problem of low

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