Multi-Aspect Touchscreen Scanning Architecture
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Solution Overview
Problem
Current touchscreen technologies face challenges in accurately discriminating between actual and false touch locations, particularly in multi-finger touch scenarios, often requiring significant hardware components, which increases costs, complexity, and size, and fails to provide an adequate and cost-effective solution.
Innovation Solution
The implementation of a conductive pattern with orthogonal first and second conductors, where the second conductors serve as an electromagnetic interference shield and are grounded, allowing for zone detection and cross point scanning to accurately determine touch locations using signal generation and detection circuitry, reducing hardware requirements and improving accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If prior art solutions are used to discriminate between actual and false touch locations, then touch accuracy may be improved, but hardware complexity and cost increase significantly
Solution Approach 1:
The patent segments the touchscreen into multiple zones and performs detection in a hierarchical manner: first identifying touched zones, then performing cross-point scanning only within those zones. This segmentation approach reduces the overall detection complexity while maintaining accuracy in discriminating actual vs. false touch locations.
Solution Approach 2:
Instead of performing full cross-point scanning across the entire touchscreen, the patent applies partial action by limiting detailed scanning only to zones where touches are detected. This reduces hardware complexity and processing requirements while maintaining sufficient detection accuracy for actual touch locations.
2Measurement precision
If comprehensive touch detection is performed across the entire touchscreen, then detection accuracy is improved, but processing time increases
Solution Approach 1:
The patent divides the touchscreen into multiple zones and performs detection in two stages: first a rapid zone-level scan to identify touched areas, then focused cross-point scanning only within those zones. This segmentation dramatically reduces processing time compared to comprehensive full-screen scanning while maintaining detection accuracy.
Solution Approach 2:
The patent applies partial action by performing detailed cross-point scanning only in zones where touches are detected, rather than scanning the entire touchscreen. This reduces processing time significantly while maintaining sufficient detection accuracy for actual touch locations.
3Measurement precision
If zone detection is performed first followed by cross point scanning, then false touch identification is improved, but detection complexity increases
Solution Approach 1:
The patent segments the detection process into two distinct stages: zone detection followed by cross-point scanning. This segmentation improves false touch discrimination by first identifying relevant zones, then performing detailed analysis only where needed, reducing overall algorithmic complexity.
Solution Approach 2:
The patent applies partial action by performing cross-point scanning only in zones where touches are detected, rather than across the entire screen. This reduces the complexity of the detection algorithm while improving accuracy in identifying actual versus false touch locations.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables efficient and accurate detection of multiple touch points with reduced hardware complexity, improving the responsiveness and linearity of touch recognition, even in diagonal movements, while allowing for the use of non-rigid materials and reducing false touch location identification.
Implementation Method 1
The second conductors are orthogonal to the first conductors and form an electromagnetic interference shield that is grounded
Implementation Method 2
Some current technology for multi-finger touch works by charging and discharging a voltage on a row or column of a conductor and measuring a change in the charge when touched
Data Source
AI summary
Architecture and method for multi-aspect touchscreen scanning. This architectures employs a single type of circuitry capable to perform both signal generation and signal detection for performing both zone scanning and cross point within a touchscreen to identify a user's interaction with the touchscreen and to discriminate actual touch locations on the touchscreen (including multiple, concurrent user touch locations on the touchscreen). This signal generation/detection circuitry can be implemented multiple times within the architecture (e.g., one for providing/detecting signals of conductors aligned in a first direction across the touchscreen, and another for providing/detecting signals of conductors aligned in a second direction across the touchscreen). Moreover, a combination of both zone scanning and cross point within the touchscreen allows for a very accurate discrimination between false/phantom touch locations and actual/real touch locations made by a user interacting with the touchscreen.