Adaptive Anti-Accidental Touch Detection Using Scenario-Specific Parameters
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Solution Overview
Problem
Current anti-accidental touch detection algorithms in electronic devices lack flexibility as they use a single approach for various application scenarios, leading to poor performance in differentiating accidental touches in diverse usage contexts.
Innovation Solution
Implementing different abnormal-shape anti-accidental touch detection parameters for different interface scenarios, such as lock screen, call, password, and input method interfaces, to adapt to specific touch characteristics and user tolerances, allowing for flexible and accurate accidental touch detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single anti-accidental touch detection algorithm is used for all scenarios, then the device complexity is reduced, but the adaptability to different usage scenarios deteriorates
Solution Approach 1:
The patent segments the detection algorithm into multiple scenario-specific sub-algorithms (lock screen scenario, call scenario, password scenario, input method scenario). Each sub-algorithm is optimized for its specific scenario, allowing the system to adapt to different usage contexts while maintaining manageable complexity through modular design.
Solution Approach 2:
The patent implements dynamic scenario recognition that automatically identifies the current usage scenario and switches between different detection parameters. The system dynamically adjusts detection sensitivity, threshold values, and algorithm selection based on the recognized scenario, enabling adaptability without requiring manual configuration.
2Measurement precision
If scenario-specific detection parameters are implemented, then the measurement precision of accidental touch detection is improved, but the device complexity increases
Solution Approach 1:
The patent applies local quality by configuring specific detection parameters for each scenario: lock screen scenario uses parameters optimized for preventing pocket dialing, call scenario uses parameters for preventing accidental call termination, password scenario uses parameters for preventing wrong password entry, and input method scenario uses parameters for preventing wrong character input. Each scenario has its own optimized parameter set, improving detection accuracy locally while the overall system remains manageable through clear scenario-based organization.
3Reliability
If multiple detection parameters are used for different scenarios, then the reliability of touch operation identification is improved, but the ease of operation deteriorates
Solution Approach 1:
The patent implements self-service by automatically recognizing the current scenario and selecting the appropriate detection parameters without requiring user intervention. The system autonomously identifies whether the device is in lock screen, call, password, or input method scenario and applies the corresponding detection algorithm, maintaining high reliability while keeping operation simple for the user.
Solution Approach 2:
The patent incorporates feedback mechanisms where the system continuously monitors touch patterns and scenario context, then adjusts detection parameters in real-time. The system provides feedback by comparing detected touch operations against scenario-specific thresholds and automatically adjusts sensitivity levels based on the reliability of identification, ensuring both high reliability and ease of operation.
Data Source
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AI summary
An anti-accidental touch detection method and apparatus, and a terminal are provided. In the anti-accidental touch detection method, when the terminal is in a first interface scenario, in response to detecting that a screen is touched, the terminal determines to perform anti-accidental touch detection by using a first anti-accidental touch detection parameter. When the terminal is in a second interface scenario, in response to detecting that the screen is touched, the terminal determines to perform anti-accidental touch detection by using a second anti-accidental touch detection parameter. The first interface scenario is different from the second interface scenario. The first anti-accidental touch detection parameter is different from the second anti-accidental touch detection parameter. The first anti-accidental touch detection parameter and the second anti-accidental touch detection parameter each include at least one of an abnormal-shape touch image attribute and a quantity of frames for detecting an image. When the terminal is in different interface scenarios, an abnormal-shape accidental touch operation is determined by using different abnormal-shape anti-accidental touch detection parameters, thereby improving flexibility of anti-accidental touch detection.