Touch Panel Mistouch Recognition via Area Fraction Thresholds
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Solution Overview
Problem
Existing touch panel systems struggle to accurately distinguish between valid and invalid touch events, particularly in devices with fingerprint sensors, leading to unintended activation and battery drain.
Innovation Solution
A gesture detection method that involves detecting touches on a touch panel, determining if they are within a track region surrounding a fingerprint sensing region, and evaluating the area coverage to determine if the touch is valid by comparing fractions of the area covered.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If only the area size of the touch is used to determine whether the touch event is triggered by the finger or by the palm, then the determination process is simple, but it is hard to accurately determine whether the touch event is a meaningful touch
Solution Approach 1:
The patent segments the touch panel into multiple regions: a fingerprint sensing region and a track region surrounding it. This spatial segmentation allows the system to distinguish between touches on the fingerprint sensor versus touches on the surrounding area, enabling more precise identification of meaningful touch events while maintaining operational simplicity through region-based classification.
2Speed
If the touch panel uses capacitive sensing to detect touch events, then the touch detection is sensitive and responsive, but unintended touches may be registered as valid touches leading to false activation
Solution Approach 1:
The patent introduces an intermediary validation mechanism that checks whether a detected capacitive touch event occurs within the fingerprint sensing region or the surrounding track region. This intermediary region-based validation step filters out unintended touches while preserving the fast response of capacitive sensing, thereby improving reliability without sacrificing speed.
3Ease of operation
If the system activates the device based on any touch detected on the touch panel, then the device is easily activated by user intent, but battery drain increases due to unnecessary activation from mistouches
Solution Approach 1:
The patent applies local quality by defining specific regions (fingerprint sensing region and track region) where touches are expected to occur for valid activation. The system only activates the device when touches are detected within these specific local regions, thereby maintaining ease of activation for legitimate uses while preventing energy waste from mistouches in other areas.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Effectively filters out mistouch events, preventing unnecessary device activation and conserving battery life by accurately determining the validity of touch events based on area coverage and intended touch location.
Implementation Method 1
Capacitive touch sensing has become one of the means of detecting a user's touch on such devices. Since the human body is a good conductor, when a portion of the human body (e.g., a fingertip) approaches a capacitive touch panel, a capacitance generated between a transparent electrode of the capacitive touch panel and the human body can vary due to an electrostatic effect. By measuring a capacitance variation of a sensing line on the capacitive touch panel, a position of a touch point is determined.
Implementation Method 2
when a portion of the human body (e.g., a fingertip) approaches a capacitive touch panel, a capacitance generated between a transparent electrode of the capacitive touch panel and the human body can vary due to an electrostatic effect
Data Source
AI summary
An example gesture detection method includes detecting at a first time a first touch on a touch panel, where the first touch covers a first area of the touch panel, and then determining whether the first touch is within a track region that surrounds a fingerprint sensing region. The method includes determining whether the first touch is within the fingerprint sensing region, the fingerprint sensing region including a sensing surface of a fingerprint sensor. The method includes determining a first fraction of the fingerprint sensing region covered by the first touch and determining whether the first fraction exceeds a first threshold. The first threshold is a majority of the fingerprint sensing region. The method includes determining a second fraction of all of the first area that is within the fingerprint sensing region and determining whether the second fraction exceeds a second threshold, where the second threshold is a fraction indicative of a majority of an area associated with the corresponding touch. The method includes based on determining that the second fraction exceeds the second threshold, determining whether the first touch is valid.