Electrical Field Tomography Interface for Large-Surface Touch Sensing
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Solution Overview
Problem
Existing touch-sensitive systems face challenges in scaling up to larger sizes due to tradeoffs between detection speed and accuracy, requiring more hardware and complex signal processing, which complicates multi-touch and gesture recognition on complex geometries and topographies.
Innovation Solution
Electrical tomography techniques, such as electrical impedance tomography (EIT), electrical field tomography (EFT), and electrical capacitive tomography (ECT), are leveraged to create systems that can 'see' and 'feel' interactions, enabling accurate and fast detection of touch and hover operations on large, complex surfaces by reconstructing electrical fields and using machine learning models for classification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If traditional touch-sensitive systems are scaled up to larger surfaces, then coverage area increases, but detection accuracy and processing speed deteriorate due to increased hardware complexity
Solution Approach 1:
The touch-sensitive surface is divided into multiple sensing zones or regions, each monitored by separate electrode sets. This segmentation allows independent optimization of each zone's detection parameters while covering large总面积, resolving the contradiction between large area coverage and maintained detection accuracy.
Solution Approach 2:
The patent replaces traditional mechanical or capacitive touch sensing hardware with electrical field-based sensing using electrodes and voltage measurements. This substitution reduces hardware complexity while maintaining or improving detection accuracy across large surfaces, as electrical fields can be precisely controlled and measured without requiring dense physical sensor arrays.
2Measurement precision
If more hardware is added to improve detection accuracy on large surfaces, then measurement precision improves, but device complexity and processing time increase
Solution Approach 1:
The electrode system serves multiple functions: it generates electrical fields for sensing, measures voltage changes for touch detection, and can potentially provide haptic feedback. This multi-functionality reduces the need for separate dedicated components, lowering overall hardware complexity while maintaining high detection accuracy.
Solution Approach 2:
Instead of using numerous physical sensors across the surface, the system uses electrical field patterns and voltage measurements that represent touch events. This virtual copying of touch information through electrical signals reduces physical hardware requirements while preserving detection accuracy.
3Adaptability or versatility
If traditional touch systems process signals from multiple touch points, then multi-touch recognition capability improves, but processing time and computational complexity increase
Solution Approach 1:
The system uses periodic electrical field cycling or pulsed voltage application to sequentially probe different sensing zones. This periodic action allows rapid sampling of multiple touch points in a time-multiplexed manner, enabling multi-touch recognition without requiring simultaneous processing of all zones, thus reducing overall processing time.
Solution Approach 2:
The system implements feedback mechanisms where voltage measurements from electrodes provide immediate information about touch events. This feedback allows real-time identification and tracking of multiple touch points, enabling fast multi-touch recognition through iterative refinement of touch state information.
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
These systems achieve high accuracy and fast processing times for touch and gesture detection on large, complex surfaces, enabling advanced interactive features like multi-touch and hover recognition, while simplifying hardware and reducing noise interference.
Implementation Method 1
a first current is applied to a first pair of adjacent electrodes to create a first electrical field across a surface of the substrate
Implementation Method 2
voltage perturbations induced by one or more touch or hover operations on the substrate are measured
Data Source
AI summary
A detection system has an interface including a substrate supporting a conductive coating. Electrodes are provided to the substrate. A multiplexer provides current to the electrodes. A demultiplexer receives voltages from electrodes and provides corresponding signals to a controller. The controller receives these signals and determines therefrom an operation performed in connection with the interface by applying an algorithmic approach. Static interaction is recognizable, and machine learning can be used for gesture recognition and/or identification of other interaction types. The technology can be used in a broad array of applications, e.g., where it is desirable to sense interactions with a defined region such as, for example, in the case of touches, gestures, hovers, and/or the like.