Method and system for eliminating deformation noise in detection data of touch detection device

A technology for touch detection and data detection, which is applied in the field of deformation noise elimination methods and systems, and can solve problems such as different deformation degrees, interference, and inconsistency of deformation noise.

Active Publication Date: 2012-10-10
SHENZHEN GOODIX TECH CO LTD
View PDF3 Cites 21 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The noise caused by this deformation will affect the detection data D ij Cause interference, especially when the touch pressure is heavy, the interference is more serious, and it is easy to cause false detection
What is more complicated is that the deformation of each node in this area is different, and the closer to the touched node, the greater the deformation, so the deformation noise of each node in this area is not consistent, and the current noise reduction processing method lacks a touch screen for this kind of noise. Proven means of deforming noise

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method and system for eliminating deformation noise in detection data of touch detection device
  • Method and system for eliminating deformation noise in detection data of touch detection device
  • Method and system for eliminating deformation noise in detection data of touch detection device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0067] Embodiment 1, step C can be decomposed into the following steps to achieve:

[0068] Step C11, for each group of touch detection nodes, subtract the detection data of every two adjacent touch detection nodes to obtain multiple sets of deformation difference components containing N-1 deformation difference components in each group; where N is each group of touch The number of touch detection nodes in the detection node.

[0069] by Figure 7 Taking the detection data shown as an example, the difference between the adjacent detection data in the 12th column is obtained to obtain 19 difference components, such as Figure 11 As shown, it can be seen that the difference value of the area touched by a finger changes greatly, and the deformation of the area without finger touch is small, that is, the influence of touch is greater than the influence of deformation. Make a difference for the adjacent detection data in the fifth column, and then take the difference value Absolu...

Embodiment 2

[0082] In the second embodiment, a grouping statistical algorithm is used for searching the touch area and the non-touch area. Since the number of sampling points in the touch area is smaller than the number of sampling points in the non-touch area, after the grouping is completed, the group with the largest number of sampling points in the group is used as the non-touch area, and the others are used as the touch area. The sampling value of the non-touch area is directly used as the deformation amount, and the deformation amount of the touch area is fitted by the value of the non-touch area. Such as Figure 11 As shown, since the area of ​​the human finger is much smaller than the area of ​​the touch screen, Figure 11 There are two fingers touching, the maximum value DiffMax=140, the minimum value DiffMin=0, if it is divided into 4 groups (that is, 4 levels, the progression reflects the number of degrees), then the step size is Step=(140-0) / 4=35, after grouping, the group ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention belongs to the technical field of touch control and provides a method for eliminating deformation noise in detection data of a touch detection device. The method includes the following steps of A) synchronously sampling touch detection nodes belonging to a same group and saving sample data; B) comparing each sample datum with a respective standard reference value to compute a difference value serving as a detection datum to replace the original sample datum; C) determining a deformation variable of each touch detecting node outside of the touched area according to the detection data, fitting a deformation variable of each touch detecting node within the touched area; and D) subtracting corresponding deformation variables from detection data of all touch detecting nodes to obtain detection data after deformation noise is eliminated. Firstly, the deformation variable of each touch detecting node outside of the touched area is determined according to the detection data, then deformation variable of each touch detecting node within the touched area is fitted according to the obtained deformation variable, and finally, the deformation variable of each touch detecting node is eliminated from the detection data.

Description

technical field [0001] The invention belongs to the field of touch technology, and in particular relates to a method and system for eliminating deformation noise in data detected by a touch detection device. Background technique [0002] The touch detection device includes a variety of application forms such as touch buttons, touch panels, and touch screens, and specifically includes various touch detection methods such as infrared, resistive, ultrasonic, inductive, and capacitive. In a typical touch detection device, the touch controller is connected to the touch sensor, collects touch detection data from the sensor, and then processes the detection data to determine the coordinate position of the touch point, specifically as figure 1 shown. [0003] Sampling of the touch sensor is usually carried out in a scanning manner on each detection node. For example, for a capacitive multi-touch screen, the detection node is a plurality of projected capacitive nodes distributed ve...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06F3/041
CPCG06F3/041G06F3/0418
Inventor 陈小祥邓耿淳叶金春李海
Owner SHENZHEN GOODIX TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap