2D Sensing Information Analysis for Touch Position Detection
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Solution Overview
Problem
Existing touch display technologies face challenges in accurately detecting touch positions due to noise interference, which affects signal values and leads to errors in position detection, especially with human body signals that carry various noises.
Innovation Solution
A method and device for analyzing 2D sensing information that involves converting traditional sensing information into quasi signal values through differential or dual-differential processing, allowing for the determination of touch-related sensing information with inner low values within outer high values and inner higher values within outer low values, thereby reducing noise interference and improving signal-to-noise ratio.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional sensing information is used directly for touch detection, then the detection process is simple, but noise interference causes errors in position detection
Solution Approach 1:
The patent introduces an intermediary processing layer that converts traditional sensing information into quasi signal values through differential or dual-differential processing. This intermediary transformation acts as a mediator between the raw sensing data and the final touch detection, filtering out noise while preserving touch-related information. The conversion process creates a new representation (quasi signal values) that is less susceptible to noise interference.
Solution Approach 2:
The patent changes the parameter representation of sensing information by converting traditional signal values into quasi signal values through mathematical transformations (differential or dual-differential processing). This parameter change transforms the noise characteristics while preserving the essential touch information, thereby improving the signal-to-noise ratio and detection accuracy.
2Measurement precision
If differential or dual-differential processing is applied to convert sensing information, then noise interference is reduced, but the processing complexity increases
Solution Approach 1:
The patent segments the processing into distinct stages: first converting traditional sensing information into quasi signal values through differential processing, then optionally applying dual-differential processing. This segmentation allows the system to choose the appropriate level of processing complexity based on the specific application requirements, balancing noise reduction with computational load.
Solution Approach 2:
The patent implements optional processing levels - basic differential processing or enhanced dual-differential processing. The system can apply partial processing (single differential) when noise levels are moderate, or excessive processing (dual differential) when noise levels are high, allowing flexible adaptation to different operational conditions without always requiring the full complexity.
Data Source
AI summary
A two-dimension (2D) sensing information is analyzed for determining touch related sensing information. The touch related sensing information may include touch related sensing information with inner low values within outer high values and with inner higher values within outer low values.