Pixelated Touch Screen Entity Orientation Estimation
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Solution Overview
Problem
Current touch screen devices lack the capability to accurately estimate the orientation and identity of entities interacting with them, which limits their functionality in applications such as vehicle control systems where multiple users need to be distinguished.
Innovation Solution
A touch screen device equipped with a pixelated touch screen that generates a two-dimensional capacitance map, inversely proportional to the distance between entities and the screen, and a processor that applies analytic methods like signal processing, principal component analysis, or machine learning to estimate the orientation and identity of entities based on capacitance data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional touch screen devices are used, then the device structure remains simple, but the capability to estimate entity orientation and identity is lost
Solution Approach 1:
The touch screen is divided into multiple pixelated elements that can independently measure capacitance. Each pixel acts as an independent sensing unit, allowing the system to construct a detailed two-dimensional capacitance map that reveals information about entity orientation and identity through spatial distribution patterns.
Solution Approach 2:
The system transitions from traditional one-dimensional or point-based touch detection to two-dimensional capacitance mapping across the pixelated screen surface. This dimensional expansion enables extraction of additional features such as touch orientation, contact area distribution, and pressure gradients, which are critical for entity identification.
2Adaptability or versatility
If multiple users need to be distinguished, then the functionality improves, but the complexity of user interface and control systems increases
Solution Approach 1:
The system automatically performs entity identification and orientation estimation without requiring manual user input or configuration. The pixelated capacitance measurements are processed through analytic methods that autonomously distinguish between different users and determine their intended actions, eliminating the need for complex manual authentication or setup procedures.
Solution Approach 2:
The system utilizes changes in capacitance parameters across the pixelated array to differentiate between users. By analyzing variations in touch location, contact area, pressure distribution, and temporal patterns, the system can identify and adapt to multiple users without requiring them to manually configure the interface.
3Measurement precision
If analytic methods are applied to capacitance data, then entity identification accuracy improves, but computational requirements increase
Solution Approach 1:
The system applies analytic methods selectively to the most informative portions of the capacitance data rather than processing the entire dataset with equal computational intensity. By focusing computational resources on key features such as high-variance regions or temporally significant changes, the system achieves accurate entity identification while reducing overall computational burden.
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
Enables accurate identification and differentiation of entities interacting with the touch screen, facilitating safer vehicle operation by preventing unauthorized access to critical controls and reducing complexity in user interfaces.
Implementation Method 1
Capacitance data of the two-dimensional capacitance map is inversely proportional to a distance between fingers of the one or more entities and the pixelated touch screen
Data Source
AI summary
Devices, systems, computer-implemented methods, and computer program products that can facilitate estimating orientation and/or identity of an entity that touches a touch screen device are provided. According to an embodiment, a device can comprise a pixelated touch screen that provides a two-dimensional capacitance map in response to detection of one or more entities touching the pixelated touch screen. Capacitance data of the two-dimensional capacitance map is inversely proportional to a distance between fingers of the one or more entities and the pixelated touch screen. The device can further comprise a processor that applies an analytic method to the two-dimensional capacitance map to estimate orientation or identity of the one or more entities.