Hovering Control Panel Sensing Separation for Overlapping Fingers
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Solution Overview
Problem
In hovering touch operations, when fingers are close together or overlap, the sensing areas generated by each finger become combined or one is covered, leading to unreliable recognition of finger quantity and information, affecting control accuracy and user experience.
Innovation Solution
A method and apparatus for separating sensing areas during hovering control by determining central points of overlapping sensing areas and segmenting them using area segmentation lines, improving accuracy through techniques like gradient descent area search and morphological closure operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If fingers are placed close together or overlapping during hovering operation, then the control panel can detect more finger information, but the sensing areas become combined or covered making accurate detection difficult
Solution Approach 1:
The patent segments the combined sensing area into multiple independent sensing regions by identifying local maximum points (peaks) in the sensing signal and dividing the area based on these peaks. This allows the system to distinguish between multiple fingers even when their sensing areas overlap, resolving the contradiction between detecting multiple fingers and maintaining measurement precision.
Solution Approach 2:
The patent performs preliminary processing on the sensing area by applying morphological closure operations to fill gaps and smooth the sensing region boundaries before peak detection. This preliminary action prepares the sensing data for more accurate segmentation and finger identification, improving the ability to distinguish overlapping fingers.
2Reliability
If one finger is far from the hovering control panel while another is close, then the closer finger generates a stronger sensing area, but the farther finger's sensing area becomes weaker and may be covered
Solution Approach 1:
The patent applies local quality analysis by identifying local maximum points (peaks) within the sensing area that correspond to different fingers. Even when one finger's sensing area is much weaker due to distance, the local peak detection method can still identify these weaker regions by looking for local maxima in the sensing signal, preventing information loss about distant fingers.
Solution Approach 2:
The patent uses feedback from the sensing signal characteristics to iteratively identify and separate different finger regions. By analyzing the distribution of sensing values and identifying peaks that correspond to different fingers, the system can distinguish between close and far fingers, ensuring that even weak sensing areas from distant fingers are not lost.
Data Source
AI summary
A method includes a computer device that determines a first sensing central point of a second sensing area and a second sensing central point of a third sensing area based on sensing data on a hovering control panel at a reference moment, determines an area segmentation line of a first sensing area based on the first sensing central point and the second sensing central point, and segments, based on the area segmentation line, the first sensing area generated at a first moment to obtain a first sensing control area and a second sensing control area such that, a case in which sensing areas generated by two objects are combined or a weaker sensing area is covered when the two objects are in proximity or overlap can be effectively avoided.