Dynamic Recognition Area Adjustment for Touch Input Error Reduction
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Solution Overview
Problem
Existing touch pad systems are prone to errors due to fixed coordinate recognition, which fails to account for hand gripping type, movement radius, and touching medium, leading to unintended button clicks and incorrect coordinate generation.
Innovation Solution
The input device dynamically reassigned the recognition area based on the size and type of the touch pad, contact location, and user-specific characteristics, using a cell coordinate system with nonuniformly divided cell areas to align with the user's intended coordinates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If fixed coordinate recognition is used in touch pad systems, then device complexity is reduced, but measurement precision deteriorates due to coordinate errors
Solution Approach 1:
The patent implements dynamic recognition area adjustment by detecting the user's hand gripping position and movement characteristics, then reassigning the recognition area boundaries in real-time. This transforms the static coordinate system into a dynamic one that adapts to user behavior, resolving the contradiction between system simplicity and measurement precision.
Solution Approach 2:
The system changes the parameters of the recognition area (position, size, shape) based on detected hand gripping characteristics and movement patterns. By dynamically modifying these parameters, the system maintains high coordinate detection accuracy without requiring complex hardware modifications.
2Measurement precision
If the recognition area is dynamically reassigned based on hand gripping characteristics, then measurement precision improves, but device complexity increases
Solution Approach 1:
The system performs self-adjustment by automatically detecting hand gripping characteristics and movement patterns, then autonomously reassigning the recognition area without user intervention. This self-service mechanism reduces the need for complex external control systems while maintaining high precision.
Solution Approach 2:
The system continuously monitors touch coordinates and movement patterns, compares them against expected ranges, and provides feedback by adjusting the recognition area boundaries. This closed-loop feedback mechanism improves precision while keeping the complexity manageable through iterative adaptation.
3Ease of operation
If fixed coordinate values are used, then ease of operation is maintained, but reliability deteriorates due to unintended button clicks
Solution Approach 1:
The system performs preliminary detection of hand gripping position and movement characteristics before final coordinate recognition. By preparing the recognition area in advance based on predicted user intent, the system prevents unintended button clicks while maintaining natural operation.
Solution Approach 2:
The system anticipates potential coordinate errors by detecting hand gripping characteristics and pre-adjusts the recognition area to counteract expected deviations. This preliminary anti-action prevents unintended inputs before they occur, improving reliability without affecting ease of operation.
Data Source
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AI summary
A control method includes: receiving a user's input through a touch area of the input device; and recognizing the user's touch input to the touch area through a recognition area of the input device corresponding to the touch area and changing and assigning a range of the recognition area corresponding to the touch area according to a predetermined standard.