In-cell Touch Sensor Edge Detection via Mirror Copying

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

In-cell touch sensors have a smaller effective touch area compared to the pixel active area due to electrode placement, limiting accurate edge detection on display panels.

Innovation Solution

A touch detection method that involves scanning and mirror copying touch data from adjacent electrodes outside the touch sensor active area to calculate the central point of the touch image using weighted averages, effectively expanding the touch detection area to match the pixel active area.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If in-cell touch sensor electrodes are placed inside the pixel active area due to circuit complexity limitations, then the device complexity is reduced, but the effective touch area becomes smaller than the pixel active area

Engineering Contradiction:
Improvecircuit complexityVSAvoideffective touch area
Core Design Contradiction:
Device complexityVSArea of stationary object

Solution Approach 1:

The patent applies the copying principle by creating virtual touch data through mirror copying of actual touch data from electrodes adjacent to the edge. The algorithm copies touch data from valid electrode regions to virtual electrode positions outside the touch sensor active area, effectively extending the touch detection coverage to match the pixel active area without adding physical electrodes or increasing circuit complexity.

Inventive Principle:
Principle #26Copying

2Ease of operation

If the touch sensor active area is smaller than the pixel active area, then the electrodes can be placed within the pixel active area, but the edge area of the display panel cannot be detected by touch sensing

Engineering Contradiction:
Improveelectrode placementVSAvoidtouch detection accuracy at edge
Core Design Contradiction:
Ease of operationVSMeasurement precision

Solution Approach 1:

The patent uses an algorithmic intermediary approach where virtual touch data acts as a mediator between the limited physical electrode array and the larger pixel active area. By introducing virtual electrode positions and using mirror copying algorithms, the system bridges the gap between the smaller touch sensor active area and the larger display panel, enabling accurate edge touch detection without physically extending the electrode array.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Device complexity

If the pitch of the intersection point of column electrode and row electrode is 32 times the pitch of the pixel, then the circuit complexity is reduced, but the effective touch area equivalent to pixel area is reduced

Engineering Contradiction:
Improveelectrode pitch ratioVSAvoideffective touch area
Core Design Contradiction:
Device complexityVSArea of stationary object

Solution Approach 1:

The patent applies dimensionality change by extending the two-dimensional electrode array concept into a virtual third dimension through mirror copying. By creating virtual electrode positions that mirror the physical electrode arrangement across the edge boundaries, the algorithm effectively adds spatial dimensions to the touch detection coverage, allowing the system to detect touches across the entire pixel active area despite the reduced physical electrode pitch ratio.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

Data Source

PatentUS8674956B2In-cell touch sensor touch area enhancing algorithm
Publication Date: 2014.03.18 INNOLUX CORP
  • US8674956B2 patent drawing
  • US8674956B2 patent drawing
  • US8674956B2 patent drawing

AI summary

A touch detection method includes: scanning the row electrodes or the column electrodes in sequence to obtain touch data of the touch sensor; labeling a plurality of coordinates as a touch image according to the touch data; mirror copying the touch data of the touch image corresponding to at least one column electrode and at least one row electrode which are adjacent to an edge of the pixel active area in the x-direction and the y-direction, respectively, to at least one corresponding location which is outside of the touch sensor active area with respect to the edge of the pixel active area; calculating a location (xave, yave) of the central point of the touch image by a weighted average; and outputting the location (xave, yave) of the central point of the touch image.