Touch Screen Mistaken Event Detection via Baseline Signal Analysis
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Solution Overview
Problem
Existing touch screen technologies fail to accurately distinguish between genuine approaching or touching events and mistaken events caused by ghost points or water spots, leading to errors and unwanted consequences.
Innovation Solution
A method and apparatus that gather touch sensitive signal values, calculate the sum of differences with a baseline value, and determine if the sum is less than or equal to zero to identify mistaken approaching or touching events, thereby reducing or preventing incorrect reporting to the host.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If touch screen detects all approaching or touching events, then detection sensitivity is improved, but false detection from ghost points or water spots increases
Solution Approach 1:
The patent applies local quality by analyzing the spatial distribution and signal characteristics of touch events at different locations. It examines the local signal patterns, adjacency relationships, and physical properties of detected points to distinguish genuine touches from ghost points or water spots, allowing the system to maintain high detection sensitivity while filtering false events based on their local characteristics
Solution Approach 2:
The patent inverts the traditional approach by not only detecting the presence of touch events but also actively identifying and eliminating false events through reverse verification. It uses signal inversion techniques and complementary detection methods to verify whether detected events are genuine, thereby reducing false detection while maintaining sensitivity
2Reliability
If traditional touch detection methods are used, then device complexity is low, but ability to distinguish genuine touches from ghost points is insufficient
Solution Approach 1:
The patent applies preliminary action by pre-establishing baseline signal characteristics, adjacency relationship rules, and physical property thresholds before actual touch detection occurs. It pre-configures detection algorithms with reference data and decision criteria, enabling the system to quickly and accurately distinguish genuine touches from ghost points during operation without requiring complex real-time processing
Solution Approach 2:
The patent segments the touch detection process into multiple independent analysis stages: signal acquisition, adjacency relationship analysis, physical property verification, and final event determination. Each stage processes specific aspects of touch events separately, making the overall complex detection task more manageable and improving accuracy without requiring monolithic complex algorithms
Data Source
AI summary
The present application provides a method for determining mistaken approaching/touching event, comprising: gathering one or more touch sensitive signal value corresponding to a line piece; calculating a sum of differences of each signal value and a baseline value; and if the sum is less than or equals to zero, determining the line piece is corresponding to a mistaken approaching/touching event.