Touch Pad Palm Detection Using Local Quality Conditions
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Solution Overview
Problem
Existing touch pads on notebook PCs face operational errors due to palm detection inaccuracies, where spatial characteristics of finger touches are misinterpreted as palm touches, leading to invalid operations.
Innovation Solution
A touch pad with detection and control means that calculates touch regions and positions based on spatial characteristics, setting different determination conditions for peripheral and central operation surface areas to accurately differentiate between finger and palm touches, thereby preventing operational errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If the touch pad size is increased, then the operational area is expanded, but palm touches during keyboard operation increase causing operational errors
Solution Approach 1:
The patent applies different palm determination conditions to different regions of the touch pad. The operation surface is divided into a peripheral portion and a central portion, with each region having its own determination conditions. This allows the system to accurately distinguish between finger and palm touches in different locations, preventing operational errors while maintaining the expanded touch pad area.
2Device complexity
If a unified palm determination condition is used for the entire touch pad, then palm detection is simplified, but finger touches with similar spatial characteristics are incorrectly identified as palms
Solution Approach 1:
The patent divides the touch pad into peripheral and central portions with different determination conditions. The peripheral portion uses a first determination condition (stricter criteria) while the central portion uses a second determination condition (more lenient criteria). This local differentiation allows accurate identification of both finger and palm touches across different regions without requiring complex unified algorithms.
Solution Approach 2:
The operation surface is segmented into distinct regions (peripheral and central portions), each with its own palm determination conditions. This segmentation allows the system to handle different touch scenarios appropriately for each region, improving overall identification accuracy while keeping the determination logic manageable through regional specialization.
Data Source
AI summary
In a case where a touch position is a peripheral portion, when spatial characteristics which correspond to an area and a length of a touch region exceed a first condition corresponding to a predetermined area and length, it is determined that the touch region is caused by a palm. When the spatial characteristics do not exceed the first condition, it is determined that the touch region is caused by a finger. In a case where a touch position is a central portion, when the spatial characteristics exceed a second condition corresponding to an area and a length that are larger than those of the first condition, it is determined that the touch region is caused by a palm. When the spatial characteristics do not exceed the second condition, it is determined that the touch region is caused by a finger.


