Touch Sensor Data Processing for High Resolution Sensing
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Solution Overview
Problem
Increasing the number of touch sensors in touch panels improves sensing data resolution but decreases aperture ratio and sensitivity, making it challenging to achieve high-resolution sensing while maintaining reliable touch detection.
Innovation Solution
A method of processing sensing data by calculating motion vectors from low-resolution data frames, aligning and generating high-resolution data frames, and detecting touch positions using these high-resolution data frames, which also involves correcting the data using example-based data stored in a storage part.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the number of touch sensors is increased, then sensing data resolution is improved, but aperture ratio is decreased
Solution Approach 1:
Multiple low-resolution sensing data frames are merged through alignment and overlapping operations to generate a single high-resolution data frame. This combines information from multiple temporal instances to achieve resolution enhancement without adding physical sensors.
Solution Approach 2:
The patent transitions from spatial resolution improvement (adding more sensors) to temporal resolution improvement (using multiple frames over time). By utilizing the time dimension, the system achieves high resolution without increasing sensor density in space.
2Measurement precision
If the size of each touch sensor is decreased, then the number of touch sensors can be increased, but sensitivity of each touch sensor is decreased
Solution Approach 1:
The patent combines sensing data from multiple low-resolution frames through alignment and overlapping, effectively pooling the sensitivity contributions of multiple sensors across time to achieve high resolution while maintaining adequate sensitivity per sensor.
Solution Approach 2:
Motion vectors are calculated and alignment is performed before final high-resolution data generation. This preliminary processing prepares the data in advance, ensuring that sensitivity information is properly integrated before resolution enhancement occurs.
3Measurement precision
If motion compensation is applied to moving objects, then accuracy is improved, but computational complexity increases
Solution Approach 1:
The processing is divided into distinct segments: motion vector calculation, alignment based on motion vectors, overlapping integration, and high-resolution data generation. This segmentation allows each computational task to be optimized independently and processed in a systematic manner.
Solution Approach 2:
The patent dynamically adjusts processing based on detected motion. Motion vectors are calculated to capture object movement, and alignment operations are adapted accordingly. This dynamic approach improves accuracy for moving objects while allowing the system to respond flexibly to different scenarios.
Data Source
AI summary
A method of processing touch-image data includes calculating a plurality of motion vectors using a plurality of low-resolution touch-image data frames, aligning sensing data corresponding to an object detected in the low-resolution touch-image data frames using the motion vectors to generate an overlapped touch-image data frame, generating high-resolution data corresponding to the detected object using the overlapped touch-image data frame and detecting the touch position and generating touch position data of the detected object using the high-resolution touch position data corresponding to the detected object.