Capacitive Touch Pad High Resolution Output on Low-End MCU
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Solution Overview
Problem
Capacitive touch pads are not suitable for ultra-low power consumption embedded devices due to the need for high-end single-chip microcomputers, which are expensive and power-intensive, limiting their application to high-end devices.
Innovation Solution
A processing method that incorporates a low-end single-chip microcomputer with a capacitive touch pad, utilizing a master control single-chip microcomputer module, a self-checking capacitance sensing module, and optimization algorithms such as the improved Kalman filter, continuous midpoint value algorithm, and digital low-pass filter to achieve high resolution outputs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a high-end single-chip microcomputer (16 bit or 32 bit) is used to achieve good capacitive touch pad performance, then the touch pad performance and representation effect are improved, but the manufacture cost and power consumption increase significantly
Solution Approach 1:
The patent segments the data processing function into two parts: the capacitive touch pad hardware (sensor module) that captures raw touch data, and the low-end single-chip microcomputer that runs optimized algorithms to process this data. This segmentation allows the use of cheaper, lower-power microcomputers while maintaining touch pad functionality through software optimization.
Solution Approach 2:
The patent changes the processing parameters by implementing optimized algorithms (improved Kalman filter, continuous midpoint value algorithm, digital low-pass filter) that reduce computational complexity. These parameter changes in the processing approach enable low-end microcomputers to achieve the same processing quality that previously required high-end processors.
2Measurement precision
If a high-end single-chip microcomputer is used to process capacitive touch pad data, then the processing precision and resolution are improved, but the device complexity and cost increase
Solution Approach 1:
The patent replaces the need for complex hardware (high-end microcomputer) with optimized software algorithms. The improved Kalman filter, continuous midpoint value algorithm, and digital low-pass filter collectively substitute for the computational power that would otherwise be provided by expensive hardware, achieving the same precision effect through mathematical processing rather than hardware complexity.
Solution Approach 2:
The patent applies preliminary processing actions to the raw touch data through multiple filtering stages before final position calculation. The improved Kalman filter performs preliminary noise reduction, the continuous midpoint value algorithm performs preliminary smoothing, and the digital low-pass filter performs preliminary frequency filtering, thereby simplifying the final processing step and enabling use of simpler microcomputers.
3Ease of manufacture
If traditional capacitive touch pad processing is used on low-end single-chip microcomputers, then the cost is reduced, but the processing efficiency and resolution are insufficient
Solution Approach 1:
The patent introduces dynamic adaptive processing through the improved Kalman filter, which dynamically adjusts its filtering based on the characteristics of the incoming touch data. This dynamic approach allows the system to maintain high processing efficiency across varying touch conditions while using simple hardware, thereby resolving the contradiction between low cost and high processing efficiency.
Solution Approach 2:
The patent implements continuous processing through the continuous midpoint value algorithm, which continuously smooths the touch position data as it arrives. This continuous processing action ensures that the system maintains high processing efficiency and resolution without requiring expensive high-speed hardware, enabling low-end microcomputers to achieve better productivity.
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 enhances data processing efficiency, allowing high resolution outputs on low-end single-chip microcomputers, making capacitive touch pads viable for low-cost, low-power devices like remote controllers, while simplifying the calculation process and reducing costs.
Implementation Method 1
a coupling capacitance can be formed between fingers and a conductive layer so that a flow of current is implemented between the capacitive sensing panel (electrode) and the capacitive sensing path of the capacitance sensing module, and then the capacitance sensing module can convert to a corresponding value of sensing capacitance
Implementation Method 2
the small area of electrode can form a low-voltage electric field in an electric conductor; when touching or closing the capacitive panel, owing to the electrical field on human body, a coupling capacitance can be formed
Data Source
AI summary
A processing method for implementing high resolution output of a capacitive touch pad on a low-end single-chip microcomputer. The low-end single-chip microcomputer device comprises a master control single-chip microcomputer unit (MCU), a self-checking capacitance sensing module and a capacitive touch pad. The master control single-chip microcomputer module controls the self-checking capacitance sensing module to obtain source data acquired by the self-checking capacitance sensing module from the capacitive touch pad, then the source data are subjected to touch position computing by the master control single-chip microcomputer to obtain an original coordinate data of a touch point, and then a coordinate position can be obtained through an optimizing computation processing.