Electric Field Touchscreen With Machine Learning Noise Filtering
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional touchscreen technologies, such as resistive, infrared, and capacitive touchscreens, face issues with durability, accuracy, and functionality in various environmental conditions, including glove use, vandalism, and exposure to weather elements, while traditional electric field technology struggles with precise gesture detection and point of contact recognition.
Innovation Solution
An electric field touchscreen system featuring transmit and receive electrodes, a controller, and an application processor that uses machine learning to process digital signal data, filtering noise and environmental interference to accurately detect touch events and locations, and is protected by a polycarbonate layer for durability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If capacitive touchscreen technology is used, then the touchscreen can detect touch events, but the proximity range is limited to no more than 4 mm and cannot support gloved fingers or work in adverse environmental conditions
Solution Approach 1:
The patent changes the fundamental operating parameters of the touchscreen by using electric field technology with a different detection mechanism. Instead of relying on capacitive coupling through glass (limited to 4mm proximity), the system uses transmit electrodes that generate electric fields and receive electrodes that detect field distortions caused by objects. This allows detection through thicker materials and enables support for gloved fingers and adverse environmental conditions by adjusting the electric field parameters and detection sensitivity.
Solution Approach 2:
The patent replaces the traditional capacitive sensing mechanism with an electric field-based detection system. The mechanical constraint of direct contact or close proximity (capacitive coupling) is substituted with an electric field interaction that can penetrate through materials like polycarbonate and glass. This substitution enables the touchscreen to function in previously unsupported conditions including glove use and adverse environments.
2Ease of operation
If the touchscreen is directly exposed to the user interface, then touch detection is enabled, but the screen becomes vulnerable to vandalism and physical damage
Solution Approach 1:
The patent introduces a polycarbonate protective layer as an intermediary between the user interface and the sensor field. This intermediary layer protects the underlying components from vandalism and physical damage while still allowing the electric field to penetrate through to detect touch events. The receive electrodes are positioned behind this protective layer, creating a buffer zone that enhances durability without compromising user interface accessibility.
Solution Approach 2:
The patent repositions the sensor field and receive electrodes to a different spatial dimension - behind the polycarbonate protective layer rather than directly at the user interface surface. This dimensional relocation allows the touchscreen to maintain user interface accessibility at the front surface while placing the sensitive components in a protected rear position, effectively separating the user interaction plane from the vulnerable sensor plane.
3Strength
If glass is used for the touchscreen, then the display is protected, but the glass can be easily cracked or damaged by impact
Solution Approach 1:
The patent employs a composite material structure where polycarbonate is combined with the touchscreen sensor system. Instead of relying solely on glass for protection, the system uses polycarbonate as the primary protective material bonded to the rear surface. This composite approach leverages the impact resistance and flexibility of polycarbonate while maintaining the protective coverage function, creating a more durable overall structure that resists cracking from hail, rocks, and other impactors.
4Stability of the object's composition
If bonding is used to attach touchscreen to glass, then the components are secured, but the bonding deteriorates with temperature changes and UV exposure
Solution Approach 1:
The patent extracts the bonding function from the traditional glass attachment method. Instead of bonding the touchscreen directly to glass, the system bonds the polycarbonate protective layer to the rear surface of the display. This extraction removes the vulnerable bonding interface from the user-facing side and places it in a protected position, eliminating the delamination and discoloration issues that occur with conventional bonding under temperature and UV exposure.
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
The system provides accurate and durable touchscreen operation, capable of detecting different user interactions and functioning in adverse conditions, including rain and snow, with enhanced durability against physical damage and environmental exposure.
Implementation Method 1
An e-field is generated by electrical charges and spread along a surface carrying the charge
Implementation Method 2
The E-field becomes distorted when an object, such as a finger or a hand, enters the E-field area
Data Source
AI summary
An electric field (e-field) touchscreen is described. A continuous stream of digital signal data that represents e-field signal deviations is received from multiple receive electrodes. The stream of digital signal data is processed using a machine learning model to determine a touch event and a location on a display screen of the touchscreen. The touch event is processed. The e-field touchscreen may determine whether a non-normal event may be occurring causing noise in the digital signal data. If so, the received stream of digital signal data is processed through a low-pass filter and processed through an absolute value average baseline filter. A difference between the filtered data is determined to generate a filtered stream of digital signal data and is processed using the machine learning model determine a touch event and a location on a display screen of the touch event. The touch event is processed.