Touchscreen Anti-Accidental Touch Control via Dynamic Area Segmentation
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Solution Overview
Problem
Existing touch control systems inaccurately identify accidental touches due to variations in user habits and application scenarios, leading to reduced accuracy in anti-accidental touch operations.
Innovation Solution
The system divides the touchscreen into different touch areas with varying anti-accidental touch levels, dynamically updates these levels based on historical user data and current application scenarios, and uses machine learning to determine target anti-accidental touch parameters for each touch event, thereby improving the accuracy of identifying accidental touches.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a fixed anti-accidental touch algorithm with preset parameters is used, then the device can identify accidental touches, but the accuracy reduces when user habits or application scenarios change
Solution Approach 1:
The patent applies dynamics by transitioning from fixed preset parameters to dynamically adjustable parameters. The system continuously updates anti-accidental touch parameters based on real-time touch data collection and user behavior patterns, allowing the identification algorithm to adapt to different users and scenarios while maintaining high accuracy in accidental touch detection
Solution Approach 2:
The patent implements feedback mechanisms by collecting touch data from multiple sources (touchscreen controller, accelerometer, gyroscope), analyzing user behavior patterns, and using this feedback to continuously optimize the anti-accidental touch parameters. This closed-loop system ensures the algorithm learns from actual usage and improves identification accuracy over time
2Reliability
If anti-accidental touch operations are performed on all touch events, then accidental touches can be identified, but the response efficiency reduces
Solution Approach 1:
The patent applies local quality by implementing region-specific anti-accidental touch parameters for different areas of the touchscreen. High-risk areas (such as lower corners where palm touches commonly occur) have more stringent detection parameters, while low-risk areas use simpler detection logic. This localized approach maintains high identification accuracy where needed while improving overall processing efficiency
Solution Approach 2:
The patent applies partial action by selectively applying anti-accidental touch operations only to touch events that meet specific risk criteria rather than processing all touch events uniformly. The system evaluates touch position, duration, pressure, and device orientation to determine whether full anti-accidental touch analysis is necessary, reducing unnecessary processing overhead
Data Source
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AI summary
Embodiments of the present invention provide a touch control method and an apparatus, relate to the field of communications technologies, and can improve accuracy of an anti-accidental touch performed by an electronic device. The method includes: obtaining, by an electronic device, a touch event triggered by a user on a touchscreen, where the touch event includes a touch position of a touch point; if a target area in which the touch position is located is in a first touch area, determining, by the electronic device, whether the touch point is an accidental touch point, where the first touch area is located on the touchscreen of the electronic device; and discarding, by the electronic device, the touch event when the touch point is an accidental touch point, or reporting, by the electronic device, the touch event when the touch point is not an accidental touch point.