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CN-122018722-A - Partition collaborative scanning method and system for flexible touch screen

CN122018722ACN 122018722 ACN122018722 ACN 122018722ACN-122018722-A

Abstract

A partition collaborative scanning method and a system for a flexible touch screen relate to the field of display screens. The method comprises the steps of dividing a touch panel into a plurality of preset subareas, scanning each preset subarea by a first scanning mode to obtain original touch signals of each preset subarea, dividing the touch panel into an active subarea and an inactive area comprising a plurality of inactive subareas, selecting the inactive subareas in the preset area from the inactive area as noise sampling points, scanning the active subarea by a second scanning mode to obtain active signals, scanning the noise sampling points by the second scanning mode to obtain local noise samples, constructing a noise reference model to obtain a noise compensation distribution matrix, denoising the active signals based on the noise compensation distribution matrix to obtain target touch signals, and analyzing touch point coordinates based on the target touch signals. By implementing the technical scheme provided by the application, the user experience is improved.

Inventors

  • HAN JUN
  • LIN ZHENYI

Assignees

  • 亚创光电(深圳)有限公司

Dates

Publication Date
20260512
Application Date
20260131

Claims (10)

  1. 1. The partition collaborative scanning method for the flexible touch screen is characterized by comprising the following steps of: Dividing a touch panel of the flexible AMOLED display screen into a plurality of preset partitions, and distributing corresponding position identifiers for each preset partition; Scanning each preset partition in a first scanning mode to obtain original touch signals of each preset partition; Dividing the touch panel into an active partition and an inactive area comprising a plurality of inactive partitions based on the original touch signal, and selecting the inactive partition in a preset area from the inactive area as a noise sampling point; Scanning the movable partition by adopting a second scanning mode to acquire a movable signal carrying touch information and noise components, and scanning the noise sampling points by adopting the second scanning mode to acquire local noise samples, wherein the scanning power of the second scanning mode is higher than that of the first scanning mode; Collecting noise data of the whole touch panel under a preset driving signal, taking the noise data as global display noise, and constructing a noise reference model based on the global display noise and the local noise sample; Inputting the position identification corresponding to the active partition into the noise reference model to obtain a noise compensation distribution matrix corresponding to the active partition; Denoising the active signal based on the noise compensation distribution matrix to obtain a target touch signal, and analyzing touch point coordinates based on the target touch signal.
  2. 2. The method according to claim 1, wherein the dividing the touch panel into an active partition and an inactive area comprising a plurality of inactive partitions based on the original touch signal, specifically comprises: performing binarization processing on the original touch signal, determining a first touch signal larger than a preset signal threshold value, and marking a preset partition corresponding to the first touch signal as a candidate active partition; Determining a second touch signal which is smaller than or equal to a preset signal threshold value, and marking a preset partition corresponding to the second touch signal as a candidate inactive partition; Merging adjacent candidate active partitions to obtain the active partitions; And marking the preset partition which is not marked as the active partition as a candidate inactive partition, and merging the adjacent candidate inactive partitions to obtain the inactive region.
  3. 3. The method according to claim 1, wherein selecting the inactive partition in the preset area from the inactive areas as the noise sampling point specifically comprises: Acquiring physical form data representing the current bending angle, curvature radius and stress distribution of the flexible AMOLED display screen through a stress sensor arranged in the touch panel; Based on the physical form data, determining one or more key stress areas with noise gradient change amplitude larger than or equal to a preset amplitude threshold value in the current bending state; And defining all inactive partitions sharing boundaries or vertices with the active partitions and the critical stress area as the preset area.
  4. 4. The method according to claim 1, wherein the collecting noise data of the entire touch panel under a preset driving signal as global display noise, and constructing a noise reference model based on the global display noise and the local noise samples, specifically comprises: Under a preset driving signal, collecting noise data of the flexible AMOLED display screen in a non-bending state as the global display noise; acquiring a global noise sequence of the global display noise in the preset time period, and acquiring a local noise sequence of the local noise sample in the preset time period; Extracting time domain statistical characteristics and frequency domain distribution characteristics of the global noise sequence to obtain a global noise vector; Extracting time-frequency statistical characteristics and frequency domain distribution characteristics of the local noise sequence to obtain local noise vectors; The noise reference model is constructed based on the global noise vector and the local noise vector.
  5. 5. The method according to claim 4, wherein said constructing said noise reference model based on said global noise vector and said local noise vector, comprises in particular: Taking the global noise vector as a static reference characteristic for representing inherent noise characteristics of the flexible AMOLED display screen; Forming a training sample by the position identification of each noise sampling point and a corresponding local noise vector, wherein the local noise vector is used as a dynamic characteristic for representing local noise in the current bending state; And training a preset machine learning model by adopting the static reference features and the training samples, configuring the input of the machine learning model as a receiving position identifier, and configuring the output of the machine learning model as a predicted noise characteristic parameter to obtain the noise reference model.
  6. 6. The method according to claim 1, wherein the inputting the location identifier corresponding to the active partition into the noise reference model obtains a noise compensation distribution matrix corresponding to the active partition, specifically includes: dividing the active partition into a plurality of noise compensation units, wherein each noise compensation unit comprises at least one touch pixel point; acquiring the center coordinates of each noise compensation unit as the position identification of the noise compensation unit; Inputting the position identification of each noise compensation unit into the noise reference model, and calculating the noise probability distribution parameters of each noise compensation unit; Carrying out mathematical expectation calculation on the noise probability distribution parameters of each noise compensation unit to obtain a noise expected value, and taking the noise expected value as a target noise compensation value of a corresponding noise compensation unit; and carrying out smoothing processing on the target noise compensation value of each noise compensation unit to obtain the noise compensation distribution matrix.
  7. 7. The method of claim 1, wherein denoising the active signal based on the noise compensation distribution matrix to obtain a target touch signal, specifically comprises: acquiring an active signal sequence of each touch pixel point in the active partition within a preset sampling time period; Performing time-frequency conversion on the active signal sequences of the touch pixel points to obtain a time-frequency spectrum matrix of the active signals; Converting the noise compensation distribution matrix of the active partition into a noise compensation spectrum matrix with the same size as the time spectrum matrix; Performing spectrum subtraction operation on the time spectrum matrix and the noise compensation spectrum matrix to obtain a target time spectrum matrix after noise suppression; Performing inverse time-frequency transformation on the target time-frequency spectrum matrix to obtain a denoised target activity signal sequence; Carrying out energy normalization processing on the target activity signal sequence to obtain a normalized energy value sequence; And carrying out self-adaptive threshold judgment on the normalized energy value sequence, and determining an active signal corresponding to the normalized energy value larger than a preset dynamic threshold as the target touch signal.
  8. 8. A flexible touch screen-oriented partition co-scanning system comprising one or more processors and memory coupled to the one or more processors, the memory for storing computer program code comprising computer instructions that the one or more processors invoke to cause the flexible touch screen-oriented partition co-scanning system to perform the method of any of claims 1-7.
  9. 9. A computer readable storage medium comprising instructions which, when run on a flexible touch screen-oriented partition co-scanning system, cause the flexible touch screen-oriented partition co-scanning system to perform the method of any of claims 1-7.
  10. 10. A computer program product, characterized in that the computer program product, when run on a flexible touch screen oriented partition co-scanning system, causes the flexible touch screen oriented partition co-scanning system to perform the method according to any of claims 1-7.

Description

Partition collaborative scanning method and system for flexible touch screen Technical Field The application relates to the field of display screens, in particular to a partition collaborative scanning method and a partition collaborative scanning system for a flexible touch screen. Background With the advent of large-size flexible Active Matrix Organic Light Emitting Diode (AMOLED) products such as folding screen notebook computers, the integrated touch technology faces new challenges. The dramatic increase in screen size results in a significant increase in the routing of the touch sensing electrodes, resulting in a significant increase in their equivalent resistance and parasitic capacitance (RC) values. This results in serious attenuation of the touch drive signal during transmission, and a decrease in signal-to-noise ratio, which affects the sensitivity and accuracy of touch. The traditional global scanning mode, namely driving and sensing the whole touch panel in each scanning period, can cover all areas, but causes remarkable energy waste and invalid scanning in most areas where no touch control occurs, so that the overall power consumption of the system is higher, the high point reporting rate is difficult to realize, and the severe requirements of modern portable equipment on cruising and smooth interactive experience cannot be met. In order to solve the problems of high power consumption and low efficiency caused by global scanning, a technical scheme of partition scanning is proposed in the industry. According to the scheme, the whole touch panel is generally logically divided into a plurality of fixed subareas, and only the active area is scanned in a partition management mode, so that the on-demand allocation of resources is realized, the average power consumption of the system is effectively reduced, and the touch point reporting rate of the active area is improved. However, the above-described partition scan technique, while improving energy efficiency, fails to properly address one problem in large-sized flexible AMOLED panels. Specifically, display noise of the large-sized AMOLED, such as common mode noise generated by cathode voltage fluctuation, may globally interfere with the entire touch sensing layer through coupling capacitance between layers. This problem is particularly acute for flexible panels, because when the screen is in a folded or folded state, different regions of the panel are subjected to uneven mechanical stresses that cause small local variations in the physical parameters of the layers of the panel, such that the noise intensity of the otherwise relatively uniform global display noise, when coupled to the touch layer, fluctuates slightly and unevenly in spatial distribution. The existing partition scanning method only focuses on the scanning active area, so that the perception of the real-time noise state in the inactive area is lost, the touch signal-to-noise ratio under the screen bending use scene is still not ideal, and the user experience is influenced. Disclosure of Invention The application provides a partition collaborative scanning method and a partition collaborative scanning system for a flexible touch screen, which improve user experience. The method comprises the steps of dividing a touch panel of a flexible AMOLED display screen into a plurality of preset partitions, distributing corresponding position identifiers for each preset partition, adopting a first scanning mode to scan each preset partition to obtain original touch signals of each preset partition, dividing the touch panel into an active partition and an inactive area comprising a plurality of inactive partitions based on the original touch signals, selecting the inactive partition in the preset area from the inactive area as a noise sampling point, adopting a second scanning mode to scan the active partition to obtain an active signal carrying touch information and noise components, adopting the second scanning mode to scan the noise sampling point to obtain local noise samples, acquiring noise data of the whole touch panel under the condition that the scanning power of the second scanning mode is higher than that of the first scanning mode, taking the noise data of the whole touch panel as global display noise, analyzing the noise based on the global display noise and the reference signals, and the touch signals, and obtaining a coordinate distribution of the touch signals based on the local noise sampling points, and obtaining a coordinate distribution of the touch signals, and obtaining a coordinate distribution matrix based on the corresponding noise. By adopting the technical scheme, the touch panel is divided into preset partitions and position identifiers are allocated, the active partitions and the inactive areas are distinguished by adopting scanning modes with different accuracies, the partitions in the inactive areas are selected as noise sampling points, a noise reference model of gl