Touch Sensor Hand Configuration Analysis
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Solution Overview
Problem
Current touch sensor technologies face challenges in accurately determining the user's hand configuration, which affects interaction with touch-sensitive devices, leading to suboptimal user experiences due to inadequate differentiation between left and right-handed usage.
Innovation Solution
The implementation of capacitive measurement analysis across a touch sensor's electrodes to calculate hand-usage values, such as skewness, allows for the determination of hand configurations without requiring additional sensors or hardware, enabling dynamic adjustments to the graphical user interface (GUI) based on user interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If capacitive measurements are analyzed across touch sensor electrodes to calculate hand-usage values, then hand configuration determination accuracy is improved, but device complexity increases
Solution Approach 1:
The touch sensor electrode array is segmented into multiple regions (e.g., first plurality and second plurality of electrodes) along a reference axis. Capacitive measurements are independently obtained from each segment, allowing the system to analyze spatial distribution patterns of touch interactions across different hand configurations without requiring a single complex measurement system.
Solution Approach 2:
The patent introduces a spatial dimension by arranging electrodes along a reference axis and analyzing the distribution of capacitive measurements across this dimension. By calculating hand-usage values based on the positional distribution of touch events along the axis, the system transforms simple capacitive measurements into meaningful hand configuration data without adding physical sensors.
2Measurement precision
If additional sensors or hardware are added to determine hand configuration, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The existing touch sensor electrode array is made multi-functional by using it not only for detecting touch events but also for determining hand configuration. The same capacitive measurements used for basic touch detection are re-analyzed to extract hand-usage patterns, eliminating the need for separate sensors while maximizing the utility of existing hardware.
Solution Approach 2:
The touch sensor system determines its own operational context (hand configuration) using its existing capacitive measurement capabilities. By analyzing the spatial distribution of touch events across the electrode array, the system self-identifies whether it is being used with left or right hand, without requiring external sensors or additional hardware components.
3Ease of operation
If the graphical user interface is dynamically adjusted based on hand configuration, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The graphical user interface is made dynamic by automatically adjusting its layout and element positioning based on the detected hand configuration. When left-handed usage is detected, the interface switches to a left-handed layout optimized for that configuration, and similarly for right-handed usage. This dynamic adaptation improves ease of operation without requiring permanent complex structures.
Solution Approach 2:
The system changes GUI parameters (layout configuration, element positioning, spacing) based on the detected hand-usage state. By modifying these visual and spatial parameters of the interface according to whether left or right hand is being used, the system optimizes usability for different user configurations through software parameter adjustment rather than hardware changes.
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
This approach enhances user experience by tailoring touch sensor interactions to the user's hand configuration, improving GUI visibility and usability, and dynamically adjusting device functionality as hand configurations change.
Implementation Method 1
When an object touches or comes within proximity of the surface of the capacitive touch screen, a change in capacitance may occur within the touch screen at the location of the touch or proximity.
Data Source
AI summary
In certain embodiments, an apparatus includes controller circuitry and a touch sensor that includes first electrodes. The controller circuitry is configured to measure first capacitance values during a first time period, each first capacitance value associated with a respective first electrode. The controller circuitry is also configured to determine a first hand-usage value based at least on a distribution of the first capacitance values. The controller circuitry is also configured to estimate a hand-usage state based at least on the first hand-usage value. The hand-usage state indicates one of the following hand configurations: right-handed interaction with the touch sensor, left-handed interaction with the touch sensor, or two-handed interaction with the touch sensor.