Touch Point Determination Method for Capacitive Panels
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Solution Overview
Problem
Capacitive touch panels face detection accuracy challenges due to noise interference from environmental factors like static electricity and humidity, leading to incorrect operations.
Innovation Solution
A method for determining a touch point involves multiple operations: checking if a first touch detection point exceeds a threshold, ensuring neighboring points have results not exceeding the first point, and verifying if the sum of additional neighboring points exceeds a second threshold, thereby distinguishing actual touch points from noise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Strength
If capacitive type touch panel is used for dustproof and wear-resistant performance, then durability is improved, but detection accuracy deteriorates due to noise interference from environmental factors
Solution Approach 1:
The patent applies local quality by differentiating the treatment of touch detection points based on their characteristics. Individual touch points with isolated high detected values are identified as noise and rejected, while clusters of touch points with coordinated high detected values are identified as genuine touches. This local differentiation resolves the contradiction by maintaining durability while improving detection accuracy through context-aware noise filtering.
Solution Approach 2:
The patent implements feedback by using the detected results from multiple touch detection points to validate and confirm genuine touches. The system compares the detected value of a first touch detection point with neighboring second and third touch detection points, using this feedback loop to distinguish actual touches from noise interference, thereby maintaining both durability and detection accuracy.
2Measurement precision
If multiple determinant conditions are applied to suppress noise, then detection accuracy is improved, but computational complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the touch panel into multiple touch detection points and further segmenting the validation process into distinct operations. Each touch detection point is evaluated independently against specific conditions (first operation, second operation, third operation), allowing the system to manage computational complexity through modular, segmented processing while maintaining high detection accuracy.
Data Source
AI summary
An exemplary method for determining a touch point includes the following steps of: performing a first operation to determine whether a detected result of a first touch detection point exceeds a first threshold; performing a second operation to determine whether all detected results of multiple second touch detection points are no more than the detection result of the first touch detection point, the second touch detection points neighboring with the first touch detection point; performing a third operation to determine whether a sum of detected results of multiple third touch detection points exceeds a second threshold, the third touch detection points neighboring with the first touch detection point; and determining the first touch detection point as the touch point is being touched if the determine results of the first through third operations are all true.