Capacitance Input Noise Interference for Palm Touch Rejection
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Solution Overview
Problem
Capacitive touch devices often misinterpret palm touches as intentional inputs, leading to unintended actions and degraded user experience, with existing palm rejection methods being ineffective in complex scenarios.
Innovation Solution
A capacitance module with electrodes and a controller that applies noise interference, such as electromagnetic interference, to distinguish between intentional and accidental touches by taking capacitance measurements with and without interference, and classifying inputs based on stored noise-affected attributes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing palm rejection methods (ignoring large touch areas or edge inputs) are used, then the frequency of accidental touches is reduced, but the accuracy of differentiation between intentional and accidental touches deteriorates
Solution Approach 1:
The patent applies noise interference to capacitance measurements to create distinguishable patterns between intentional and accidental touches. By introducing controlled noise and analyzing how it affects different touch types, the system transforms the measurement parameters to enable more accurate classification while maintaining reliable palm rejection.
Solution Approach 2:
The system uses noise-affected capacitance measurements as feedback to improve touch classification. By continuously analyzing the response to noise interference and comparing it against expected patterns, the system refines its ability to distinguish between intentional and accidental touches, enhancing both reliability and precision.
2Measurement precision
If noise interference is applied to distinguish touch types, then the accuracy of touch input differentiation is improved, but the complexity of the measurement process increases
Solution Approach 1:
The system performs preliminary noise interference application and capacitance measurement during a calibration phase before actual touch detection. By pre-characterizing the noise response patterns for different touch types, the system reduces the complexity of real-time classification while maintaining high accuracy.
Solution Approach 2:
The patent creates noise-affected attribute profiles that serve as templates or copies of expected touch patterns. By comparing actual measurements against these pre-established profiles, the system simplifies the classification process while maintaining high differentiation accuracy.
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
Enhances touch input accuracy by effectively differentiating between intentional and accidental touches, reducing false activations and improving user experience.
Implementation Method 1
A capacitance module with electrodes and a controller that applies noise interference, such as electromagnetic interference, to distinguish between intentional and accidental touches by taking capacitance measurements with and without interference
Data Source
AI summary
A capacitance module may include a set of electrodes, a controller in communication with the set of electrodes, and memory in communication with the controller. The memory may include programmed instructions that cause the controller, when executed, to: receive a user input, send a command to cause noise interference with the user input, take a capacitance measurement while the noise interference is applied to the user input, store a noise-affected attribute associated with the capacitance measurement, and classify an unprompted user input by comparing it to the stored noise-affected attribute.