Capacitive Touch Screen Noise Reduction via Dual-Differential Conversion
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Solution Overview
Problem
Existing touch display technologies face challenges in accurately detecting object positions due to noise interference, which affects signal values and leads to errors in position detection, especially at low signal-to-noise ratios and with increased sensor sizes, resulting in higher costs.
Innovation Solution
The method involves converting only partial sensing information, replacing touch-related sensing information with similar signal values to generate quasi-all signal values, and using dual-differential sensing information to reduce noise accumulation and improve signal-to-noise ratio, allowing for effective position analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensing information is fully converted using traditional methods, then position detection can be performed, but noise accumulation occurs and signal-to-noise ratio deteriorates
Solution Approach 1:
The patent segments the sensing information conversion process by applying dual-differential operations to specific portions of the sensing data rather than converting all sensing information through traditional accumulation. This selective processing divides the problem into manageable segments that can be handled differently to reduce noise accumulation while maintaining position detection accuracy.
Solution Approach 2:
The patent changes the processing parameters by using dual-differential sensing information instead of traditional accumulation methods. This parameter change transforms the conversion approach, allowing the system to maintain measurement precision while reducing the harmful noise accumulation effect through mathematical transformation of the sensing data.
2Area of stationary object
If sensor size is increased to improve detection coverage, then touch detection capability is enhanced, but noise interference increases and costs rise
Solution Approach 1:
The patent changes the signal processing parameters by applying dual-differential operations that improve signal-to-noise ratio. This allows the system to maintain effective detection coverage without requiring proportional increases in sensor size, thereby reducing noise interference and associated costs while preserving touch detection capability.
3Loss of information
If traditional conversion methods are used on all sensing information, then complete position data is obtained, but processing complexity and noise accumulation increase
Solution Approach 1:
The patent segments the sensing information processing by applying dual-differential operations only to relevant portions of the data rather than performing traditional accumulation on all sensing information. This reduces processing complexity while maintaining position information completeness through selective application of the conversion method.
Solution Approach 2:
The patent applies partial action by using dual-differential conversion on specific sensing information rather than converting all sensing data through traditional methods. This partial application reduces processing complexity and noise accumulation while sufficient position information is still obtained for accurate detection.
Data Source
AI summary
The method and device for converting sensing information are disclosed. Each first touch related sensing information of a first sensing information is detected. At least one of the first touch related sensing information is converted. Each converted first touch related sensing information is replaced by a corresponding second touch related sensing information, whereby the first sensing information is converted into a second sensing information.