Touch Data Projection for Water Tolerance Computation
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Solution Overview
Problem
Existing capacitive touch technologies face limitations in accurately detecting multiple touches and water tolerance, with self-capacitance approaches prone to ghost points and mutual capacitance approaches requiring complex computation, making it difficult to implement advanced touch features and water tolerance in touch panel control chips.
Innovation Solution
A method that reduces computation by projecting touch data through obtaining difference arrays, extracting minimum values to form row and column projection lists, and using these lists to filter out ghost water blocks and detect real input signals within rectangular zones, integrating with a local spatial boundary detection algorithm to enhance water tolerance detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If self-capacitance detection is used, then the touch panel is easy to manufacture and simple to operate, but ghost points appear and multiple touches cannot be accurately detected
Solution Approach 1:
The patent segments the capacitance detection into two independent components: mutual capacitance detection for precise touch location identification and self-capacitance detection for water tolerance detection. This segmentation allows each detection method to excel at its specific function, resolving the contradiction between manufacturing simplicity and detection accuracy.
Solution Approach 2:
The patent introduces an intermediary processing mechanism that combines data from both mutual capacitance and self-capacitance detections. The mutual capacitance data provides precise touch coordinates, while self-capacitance data detects water blocks, and the intermediary algorithm integrates these to eliminate ghost points while maintaining detection accuracy.
2Measurement precision
If mutual capacitance detection is used, then multiple touches can be detected accurately, but the capacitance variance value is smaller and implementation is harder
Solution Approach 1:
The patent segments the detection functions by using mutual capacitance specifically for precise touch location detection while using self-capacitance for water tolerance detection. This segmentation reduces the complexity of implementing advanced features by assigning specific detection tasks to appropriate methods.
Solution Approach 2:
The patent merges mutual capacitance detection and self-capacitance detection into a unified detection system. The mutual capacitance provides precise touch coordinates while self-capacitance provides water block detection, and their combination enables both accurate multiple touch detection and water tolerance without the limitations of either method alone.
3Measurement precision
If advanced touch features are implemented using mutual capacitance data, then touch precision is improved, but computational load increases and water tolerance computation becomes too complex for control chip implementation
Solution Approach 1:
The patent segments the computational tasks by using self-capacitance data specifically for water tolerance detection, which requires minimal computation compared to full mutual capacitance processing. This segmentation enables water tolerance detection to be implemented in control chips with limited computational resources while maintaining precision through the dedicated self-capacitance detection channel.
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 method effectively reduces computational load, allowing for the detection of multiple water blocks while rejecting ghost blocks and enabling the implementation of water tolerance algorithms within touch panel control chips, thereby improving the accuracy of touch detection and reducing computational complexity.
Implementation Method 1
Capacitive touch panels originated from the improvement of inferiority in enduring scrapes of resistive touch panels. The detection of touches by capacitive touch panels simply recognizes the alteration of static electric field.
Implementation Method 2
The detection of touches by capacitive touch panels simply recognizes the alteration of static electric field.
Implementation Method 3
In self-capacitance detection technology, the accompanied touch panel contains row electrodes 3 and column electrodes 4, shown in FIGS. 1A and 1B. Once a finger taps on the touch panel, the self-capacitance of the electrodes in the proximity will be lifted, which is the consequence of the accumulation of all the self-capacitances in parallel.
Implementation Method 4
In mutual-capacitance detection technology, its panel contains a raw data matrix that is a grid formed by row electrodes 3 and column electrodes 4 carried with capacitances. Unlike the target to be detected in self-capacitive touchscreen is the capacitance variance of entire electrode, the mutual-capacitive touchscreen detects merely the capacitance variance at intersects of crossed column and row electrodes.
Data Source
AI summary
A method of reducing computation of water tolerance by projecting touch data is disclosed, targeting the handheld devices. The method targets first at obtaining a difference array, followed by extracting minimum values of rows and columns of the difference array to obtain a row projection list and a column projection list respectively. By repeated implementing of mutual capacitance detection, ghost water blocks can be wiped out from the multiple water blocks. Once integrating with a local spatial boundary detection algorithm, the sensed signals of intended input located within a rectangular water block yet beyond a real water block are consequently detected. The computational algorithm of the water tolerance of this invention is successfully built into the touch panel controller due to its substantially reduced computation.