Capacitive Touch Screen Noise Elimination via Channel Segmentation
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Solution Overview
Problem
Capacitive touch screen panels face efficiency degradation due to external noise, which affects the accuracy of touch input recognition.
Innovation Solution
A touch screen panel and driving method that include a noise measuring unit and a noise eliminating unit to calculate and eliminate noise from sensing data across multiple output channels, using noise ratios and reciprocal calculations to produce noise-eliminated data, thereby minimizing the impact of noise on touch recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If capacitive touch screen uses multiple output channels for sensing, then touch recognition capability is improved, but noise from external sources degrades the efficiency
Solution Approach 1:
The sensing data from multiple output channels is segmented and processed individually. The noise measuring unit calculates noise values for each channel separately, and the noise eliminating unit processes each channel's data independently using its specific noise characteristics, allowing targeted noise removal while preserving touch recognition capability
Solution Approach 2:
The noise eliminating unit acts as an intermediary between the noisy sensing data and the final touch recognition process. It introduces intermediate noise eliminated data that serves as a cleaned version of the original sensing data, mediating the effect of external noise on touch recognition efficiency
2Reliability
If noise measurement and elimination processes are added, then noise influence is minimized, but device complexity increases
Solution Approach 1:
The noise eliminating unit uses the sensing data itself to measure and eliminate noise. The noise measuring unit calculates noise values directly from the sensing data obtained during predetermined periods, and the elimination process uses these self-measured noise characteristics without requiring external calibration or additional reference signals
Solution Approach 2:
The system implements feedback by continuously measuring noise values from the sensing data and using these measurements to adjust the noise elimination process. The noise eliminating unit uses the calculated noise values to produce noise eliminated data, creating a closed-loop system that adapts to varying noise conditions
Data Source
AI summary
The touch screen panel may include: a touch sensor that outputs sensing data through n output channels (“n” is a natural number equal to or larger than 2); a noise measuring unit that calculates a noise value of an m-th output channel (“m” is a natural number smaller than “n”) and a noise value of an m+1-th output channel by using the sensing data outputted from the touch sensor during a predetermined period; and a noise eliminating unit that produces noise eliminated data of the m+1-th output channel by using sensing data of the m-th output channel, sensing data of the m+1-th output channel, the noise value of the m-th output channel, and the noise value of the m+1-th output channel.


