Touch Sensor Region Algorithm Selection for Hover Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Touch sensor panels without electrodes face challenges in accurately distinguishing between touch and hover inputs due to the absence of touch electrodes, leading to higher rates of misclassification.
Innovation Solution
Implementing a second, augmented algorithm that includes a machine learning model to process touch images and determine whether an object is in contact or proximity to the touch screen in regions without touch electrodes, improving the differentiation between touch and hover gestures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If touch electrodes are removed from certain regions of the touch screen, then device complexity is reduced and manufacturing is simplified, but measurement precision deteriorates leading to higher misclassification rates between touch and hover inputs
Solution Approach 1:
The touch screen is divided into multiple regions: a first region with touch electrodes for accurate touch detection, and a second region without touch electrodes for simplified structure. This segmentation allows each region to have optimized characteristics for its specific function, resolving the contradiction between complexity reduction and measurement precision maintenance.
Solution Approach 2:
Different detection algorithms are applied to different regions: a first algorithm for regions with touch electrodes and a second algorithm for regions without touch electrodes. This local quality approach ensures that each region uses the most appropriate detection method for its structural characteristics, maintaining overall detection accuracy while reducing device complexity.
2Device complexity
If a single detection algorithm is used across the entire touch screen, then device complexity is reduced, but measurement precision deteriorates in regions without touch electrodes due to inability to accurately distinguish touch from hover
Solution Approach 1:
The system dynamically selects different detection algorithms based on the region being detected. The processing circuitry determines whether a detected input corresponds to a region with or without touch electrodes and applies the appropriate algorithm accordingly. This dynamic adaptation maintains high measurement precision across different regions without requiring a permanently complex algorithm structure.
Solution Approach 2:
The detection parameters and algorithms are changed based on the regional characteristics of the touch screen. By adjusting the detection approach according to the presence or absence of touch electrodes in different regions, the system maintains accurate gesture classification while avoiding the need for a uniformly complex algorithm across the entire screen.
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
The augmented algorithm enhances the accuracy of touch input detection in regions without electrodes, reducing the rate of misclassifying hover inputs as touch inputs and vice versa, thereby improving user experience and performance.
Implementation Method 1
Capacitive touch sensor panels can be formed by a matrix of transparent, semi-transparent or non-transparent conductive plates (e.g., touch electrodes)
Data Source
AI summary
Touch sensor panels/screens can include a first region having a plurality of touch electrodes and a second region without touch electrodes. In some examples, to improve touch sensing performance, a first algorithm or a second algorithm is applied to determine whether an object corresponding to the touch patch is in contact with the touch screen. Whether to apply the first algorithm or the second algorithm is optionally dependent on the location of the touch patch.