Touch Sensing Device Weighted Smoothing Algorithm
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Solution Overview
Problem
Existing touch sensing devices face challenges in maintaining the smoothness of touch-drawing lines while minimizing distortion, particularly in curved portions, due to the limitations of current smoothing algorithms that either enhance smoothness at the cost of increased distortion or reduce distortion at the expense of smoothness.
Innovation Solution
A touch sensing device and method that calculates touch coordinates, sets reference coordinates for sample sections, and corrects touch coordinates within these sections using a weighted smoothing algorithm to improve smoothness and reduce distortion, adjusting the weight based on touch latency to optimize line representation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If a smoothing algorithm is applied to touch coordinates with higher weight on past coordinates, then the smoothness of the touch-drawing line is improved, but the distortion in curved portions becomes severe
Solution Approach 1:
The patent divides the touch coordinate sequence into multiple sample sections, each processed independently with its own reference coordinate. This segmentation allows different smoothing treatments for different portions of the drawing, reducing overall distortion while maintaining smoothness in each segment.
Solution Approach 2:
The patent applies different smoothing weights to different portions of the touch coordinate sequence based on local characteristics. By setting reference coordinates at specific intervals and applying smoothing relative to these local references, the algorithm adapts to local curvature changes, reducing distortion in curved portions while maintaining smoothness.
2Manufacturing precision
If a smoothing algorithm is applied to touch coordinates with higher weight on current coordinates, then the distortion in curved portions is reduced, but the smoothness of the touch-drawing line is reduced
Solution Approach 1:
By dividing the coordinate sequence into sample sections with reference coordinates, the patent enables localized smoothing that preserves curved portion accuracy while maintaining overall line smoothness through the structured application of weighting across segments.
Solution Approach 2:
The patent dynamically adjusts the smoothing weight distribution within each sample section based on the relationship between reference coordinates and current coordinates. This dynamic weighting allows the algorithm to adapt to changing drawing characteristics, balancing smoothness and distortion reduction in real-time.
3Object-affected harmful factors
If a smoothing algorithm is applied to touch coordinates, then noise influence is reduced and the drawing line becomes smooth, but touch latency increases
Solution Approach 1:
By processing coordinates in segmented sample sections rather than applying global smoothing to all coordinates, the patent reduces the computational burden and processing time required for smoothing, thereby reducing touch latency while still effectively reducing noise influence within each segment.
Data Source
AI summary
A touch sensing device includes a touch coordinate calculation unit configured to calculate touch coordinates for touch inputs that occurred on a touch screen panel, a reference coordinate setting unit configured to set one reference coordinate for each predetermined sample section on the basis of positions at which the touch coordinates are generated, and a touch coordinate correction unit configured to generate touch output-coordinates for the touch coordinates by smoothing each of touch coordinates positioned in a corresponding sample section on the basis of the reference coordinate set for the corresponding sample section.