Input Sensing Noise Channel Correction for False Touch Reduction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing input sensing parts in electronic devices suffer from noise interference in sensing signals due to surrounding signals, which can lead to false touch detections and operational malfunctions.
Innovation Solution
A noise reduction method for input sensing parts involves calculating and comparing values from reception channels, identifying noise channels, and correcting their maximum or minimum values based on calculated deviations, thereby reducing noise by adjusting signal signs and subtracting average values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional sensing methods are used, then the input sensing part can detect touch inputs, but noise from surrounding signals causes false detections and operational malfunctions
Solution Approach 1:
The patent segments the sensing signal processing into multiple stages: initial sensing, noise identification through statistical analysis, noise channel detection, and corrected value calculation. By dividing the processing into distinct segments with specific functions, the system can isolate and eliminate noise components while preserving genuine touch signals, thereby improving reliability without sacrificing detection capability
Solution Approach 2:
The patent introduces intermediary computational elements (average values, deviation calculations, noise channel detection algorithms) that act as mediators between the raw sensing signals and the final touch detection output. These intermediaries filter out noise by comparing signal characteristics against statistical norms, allowing genuine touch inputs to pass through while blocking noise interference
2Measurement precision
If noise reduction processing is applied, then sensing signal accuracy improves, but calculation complexity and processing time increase
Solution Approach 1:
The patent performs preliminary calculations of average values and statistical parameters during idle periods or in parallel with other sensing operations. By pre-computing these reference values before actual touch detection is needed, the system reduces the computational burden during critical sensing moments, maintaining high accuracy without proportionally increasing processing time
Solution Approach 2:
The patent applies noise reduction processing selectively - performing full statistical analysis only on channels showing abnormal deviations, while using simpler filtering methods for normal channels. This partial application of complex processing maintains measurement precision for problematic channels while avoiding unnecessary calculation complexity for clean signals
Data Source
AI summary
A noise reduction method of an input sensing part includes calculating a first calculation value by subtracting a minimum value from a maximum value of values of reception channels, calculating a first average value of first calculation values that exclude a maximum first calculation value, calculating a deviation of the first calculation values from the first average value as third calculation values, detecting a reception channel with a maximum third calculation value as a noise channel, correcting one of a maximum value or a minimum value of the noise channel based on a result of comparing a first value obtained by subtracting an average value of the noise channel from the maximum value of the noise channel, with a second value obtained by subtracting the minimum value of the noise channel from the average value of the noise channel, and subtracting a predetermined value from values of the noise channel.