Touch Sensing System Contact Classification via Frame Data Analysis
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Solution Overview
Problem
Modern touch sensitive devices face challenges in accurately discriminating between multipoint finger contacts and other types of head contacts, such as those made when holding a device against the ear, which can lead to inaccurate activation and usability issues.
Innovation Solution
A touch sensitive device with a touch sensing system that includes a processor and sensors to analyze frame data and vibro-acoustic signals, using pattern recognition and subdivision analysis to classify contact types without relying heavily on supplemental sensing systems, by generating signals from an array of sensing elements and determining the type of object in contact based on x,y coordinate values and intensity data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a touch sensitive device uses basic touch sensing to detect contact, then it can respond to finger contact, but it cannot accurately discriminate between multipoint finger contacts and head contacts
Solution Approach 1:
The touch-sensitive surface is divided into multiple sensing elements arranged in an array, with each element capable of independently generating frame data. This segmentation allows the system to analyze spatial patterns of contact across different regions, enabling discrimination between multipoint finger contacts and head contacts based on the distribution and configuration of touched points.
Solution Approach 2:
The system transitions from simple point-contact detection to two-dimensional frame data analysis by capturing x,y coordinate values across the touch surface. This dimensional expansion allows the processor to recognize contact patterns and shapes that distinguish between different contact types (fingertips, knuckles, ears, cheeks) based on their spatial arrangement.
2Measurement precision
If the device relies on supplemental sensing systems to differentiate contact types, then it can improve classification accuracy, but it increases device complexity and cost
Solution Approach 1:
The touch-sensitive surface serves multiple functions: it detects contact presence, determines contact location, analyzes contact pattern, and classifies contact type - all using the same sensing elements and processor. This multi-functionality eliminates the need for separate supplemental sensing systems while maintaining high classification accuracy across different contact types.
Solution Approach 2:
The existing touch sensing system performs self-analysis by processing its own frame data through pattern recognition algorithms. The processor analyzes the spatial distribution, intensity, and configuration of touched sensing elements to automatically differentiate between finger contacts and head contacts without requiring external sensing assistance.
3Measurement precision
If the device analyzes detailed frame data and patterns to classify contacts, then it can improve contact type differentiation, but it increases processing requirements and energy consumption
Solution Approach 1:
The system analyzes only the necessary portions of frame data required for contact classification - specifically focusing on the spatial distribution and configuration of touched sensing elements rather than processing every possible parameter. This selective analysis achieves accurate differentiation between contact types while minimizing unnecessary computational overhead and energy consumption.
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
Enhances the ability to accurately differentiate between various types of multipoint contacts, improving the device's activation and usability by reducing the need for additional sensing systems and enhancing robustness in contact discrimination.
Implementation Method 1
The touch event entails a mechanical vibration upon contact with the surface
Data Source
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AI summary
Touch sensitive devices, methods and computer readable recording mediums are provided that allow for improved classification of objects against a touch sensitive surface of a touch sensitive device based upon analysis of subdivisions of data representing contact with the touch sensitive surface during a period of time.