Coordinate Correction for Touch Input Sensors
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing electronic devices face challenges in achieving accurate coordinate sensing due to limitations in input sensor technology, particularly in distinguishing between inputs from users and input devices, leading to reduced coordinate accuracy and linearity.
Innovation Solution
The electronic device incorporates an input sensor with multiple sensing units and a controller that utilizes first and second modeling data to convert sensing coordinates into middle coordinates, correcting for errors through a coordinate correction unit, thereby enhancing coordinate accuracy and linearity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional input sensor technology is used, then device simplicity is maintained, but coordinate accuracy and linearity deteriorate
Solution Approach 1:
The input sensor is divided into multiple sensing units arranged in a matrix pattern, where each sensing unit independently detects input coordinates. This segmentation enables more precise coordinate detection through multiple measurement points while maintaining a relatively simple overall sensor structure that can be integrated with the display panel.
Solution Approach 2:
The controller pre-stores first and second modeling data obtained from adjacent sensing units before actual input detection occurs. These modeling data represent expected sensing patterns under various input conditions. During operation, the controller compares real-time sensing coordinates against these pre-established models to calculate corrected coordinates, eliminating the need for complex real-time calculations or additional hardware.
2Measurement precision
If coordinate correction based on multiple sensing units is implemented, then coordinate accuracy improves, but processing complexity increases
Solution Approach 1:
The controller creates virtual copies of sensing unit data by storing modeling information from adjacent sensing units. Instead of implementing complex mathematical transformations, the system uses these pre-captured modeling patterns as reference copies to determine corrected coordinates through comparison and selection, simplifying the processing architecture.
Solution Approach 2:
The system implements a feedback mechanism where the controller continuously compares sensed coordinates against pre-stored modeling data from multiple sensing units. Based on this comparison, the controller calculates and outputs corrected coordinates that compensate for detection errors, creating a closed-loop system that improves accuracy without requiring complex real-time processing.
Data Source
AI summary
An electronic device includes an input sensor that senses an input from an outside source to obtain a sensing coordinate. The input sensor has a plurality of sensing units defined therein. A memory stores a first modeling data obtained from first and second sensing units and a second modeling data obtained from first and third sensing units. A controller corrects the sensing coordinate to obtain a calculated coordinate. The controller comprises a first reference point moving unit that converts the sensing coordinate into a first middle coordinate based on a coordinate system having a plurality of coordinate units. A coordinate correction unit obtains a second middle coordinate by correcting the first middle coordinate based on the first and second modeling data. A second reference point moving unit obtains the calculated coordinate based on the second middle coordinate.