Input Device Edge Grip Exclusion via Segmentation
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Solution Overview
Problem
Conventional input devices, such as touchscreens, often register a user's grip or palm along the edge as invalid inputs, leading to unwanted detection and interference with valid user interactions.
Innovation Solution
The implementation of a method that detects inputs along the edges of the input device and applies exclusion criteria, such as minimum size, aspect ratio, and centroid location, to differentiate between valid and invalid inputs, thereby excluding grip-related inputs from being considered as valid user inputs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the input device detects all inputs within the sensing region, then the sensitivity and responsiveness of the device is improved, but false inputs from user grip or palm contact along the edges are incorrectly registered as valid inputs
Solution Approach 1:
The sensing region is divided into multiple segments including a valid input region and exclusion zones along the edges. By segmenting the detection area, the system can distinguish between valid inputs within the central region and invalid grip contacts along the peripheral edges, thereby improving input validation reliability while maintaining detection sensitivity in the valid region.
Solution Approach 2:
Exclusion criteria serve as an intermediary filtering mechanism between raw input detection and final input validation. These criteria evaluate intermediate parameters such as input position, size, and characteristics to determine whether an detected input should be accepted or rejected, thereby resolving the contradiction between high detection sensitivity and reliable input validation.
2Ease of operation
If the sensing region includes the entire active area of the input device, then the usability and interaction area is maximized, but edge areas become prone to false grip detections
Solution Approach 1:
The active sensing area is segmented into a full usable region with peripheral exclusion zones. This segmentation allows the entire active area to remain available for valid interactions while automatically excluding edge portions where grip contacts occur, thereby maintaining maximum usability without suffering from false grip detections.
Solution Approach 2:
The exclusion zones, which reduce the effective sensing area, inadvertently benefit the system by filtering out harmful false grip detections. The areas that appear to be lost sensing real estate are actually the problem zones where grip contacts create errors, so excluding them converts a potential harm into a benefit.
3Reliability
If exclusion criteria are applied to filter edge inputs, then false grip detections are reduced, but the complexity of the input processing system increases
Solution Approach 1:
The system evaluates simple geometric parameters such as input position coordinates, contact area size, and aspect ratio to determine whether an input falls within exclusion zones. By using straightforward parameter comparisons rather than complex analysis, the system achieves reliable input validation while minimizing processing complexity.
Data Source
AI summary
In a method of input sensing and exclusion, an input is detected within a sensing region of an input device. It is determined that the input is along an edge of the input device. It is then determined whether the input satisfies exclusion criteria. Responsive to satisfaction of the exclusion criteria, the input is excluded from consideration as valid input.