Electrical Tomography Touch Interface for Large-Surface Gesture Sensing
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Solution Overview
Problem
Existing touch-sensitive systems face challenges in scaling up to larger surfaces due to tradeoffs between detection speed and accuracy, requiring more hardware and complex signal processing, which complicates multi-touch and gesture recognition.
Innovation Solution
The use of electrical tomography techniques, such as electrical impedance tomography (EIT), electrical field tomography (EFT), and electrical capacitive tomography (ECT), to create advanced touch-sensitive systems that can detect touch and hover operations with high accuracy and speed, enabling systems to 'see' and 'feel' interactions like humans do.
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 patent divides the large touch-sensitive surface into multiple smaller sensing zones or regions, each monitored by dedicated sensor arrays. This segmentation allows each zone to maintain high detection accuracy while collectively covering a large surface area, resolving the contradiction between surface area and measurement precision.
Solution Approach 2:
The patent transitions from traditional 2D touch sensing to 3D electrical field tomography by injecting currents through electrodes and measuring voltage distributions throughout the volume. This dimensional expansion enables accurate detection across large surfaces by capturing spatial information in three dimensions, maintaining precision despite increased area.
2Area of stationary object
If traditional touch-sensitive systems are scaled up to larger surfaces, then coverage area increases, but processing speed deteriorates due to more hardware components
Solution Approach 1:
The patent implements continuous current injection and real-time voltage monitoring across all electrodes simultaneously, enabling continuous touch detection without sequential scanning. This continuous action maintains high processing speed across large surfaces by eliminating the time penalty associated with scanning multiple hardware components.
Solution Approach 2:
By utilizing 3D electrical field tomography, the system processes spatial information volumetrically rather than scanning 2D surfaces sequentially. This enables parallel processing of touch events across the entire large surface area, maintaining fast detection speeds despite the increased hardware footprint.
3Measurement precision
If more hardware is added to improve accuracy on large surfaces, then measurement precision improves, but device complexity increases
Solution Approach 1:
The patent designs electrodes to serve multiple functions: current injection, voltage sensing, and spatial localization. This multi-functionality allows the same hardware components to achieve high measurement precision across large surfaces without requiring additional specialized sensors, thereby reducing overall device complexity.
Solution Approach 2:
The patent replaces complex mechanical touch sensor arrays with electrical field-based tomography using standard electrodes and voltage measurements. This substitution achieves high detection accuracy through electrical field analysis rather than mechanical sensing, significantly reducing hardware complexity while maintaining precision on large surfaces.
4Adaptability or versatility
If complex signal processing is used to enable multi-touch and gesture recognition, then functionality improves, but processing time increases
Solution Approach 1:
The patent performs preliminary calibration and establishes baseline electrical field distributions before actual touch events occur. This preliminary action pre-configures the system to rapidly recognize multi-touch and gesture patterns during operation, reducing real-time processing time while maintaining advanced functionality.
Solution Approach 2:
The patent implements real-time feedback loops that continuously monitor voltage changes and immediately update touch event recognition. This feedback mechanism enables rapid detection and classification of multi-touch and gesture interactions, achieving high versatility without significant processing delays by using ongoing electrical field data.
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 improved accuracy and faster processing times for touch sensing, enabling multi-touch interactivity and gesture detection on large surfaces with reduced hardware complexity, allowing for real-time interaction recognition.
Implementation Method 1
electrical impedance tomography (EIT), electrical field tomography (EFT), and electrical capacitive tomography (ECT)
Implementation Method 2
electrical impedance tomography (EIT), electrical field tomography (EFT), and electrical capacitive tomography (ECT)
Implementation Method 3
electrical impedance tomography (EIT), electrical field tomography (EFT), and electrical capacitive tomography (ECT)
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.