Visual Pattern Authentication for Mobile Touch Devices
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Solution Overview
Problem
Existing user authentication systems for mobile touch devices are inadequate due to inconsistent keyboard event models and the inability to effectively utilize touch screen features for biometric authentication, as keystroke algorithms rely on dwell time which is not distinguishable on touch screens and do not leverage discrete touch events.
Innovation Solution
A visual authentication and authorization system that collects and compares touch attributes from user interactions with a visual pattern on a mobile device, including measured and derived attributes such as exchange, intensity, and globularity, to authenticate users based on their touch event sequences, using a data collection engine and authentication engine that references prior successful login data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If keystroke algorithms are used for authentication, then authentication capability is provided, but the system cannot effectively utilize touch screen features and dwell time is not distinguishable
Solution Approach 1:
The patent changes the authentication parameters from temporal-based (dwell time) to spatial-based attributes. It measures touch position, touch force, touch duration, and inter-touch intervals, transforming the authentication approach to suit touch screen characteristics while maintaining reliability through multiple measurable parameters.
Solution Approach 2:
The patent replaces the mechanical keyboard-based authentication system with a touch screen-based system. Instead of relying on physical key presses and dwell time, it uses touch event coordinates, pressure sensitivity, and gesture patterns inherent to touch screen mechanics.
2Ease of operation
If discrete touch events are used for authentication, then touch screen features are utilized, but previous systems require perfect match which reduces ease of operation
Solution Approach 1:
The patent introduces dynamic thresholding and confidence scoring mechanisms. Instead of requiring exact matches, the system evaluates touch patterns against learned user behaviors with configurable tolerance levels, adapting the matching criteria based on the number of touches and overall pattern consistency.
Solution Approach 2:
The system implements feedback through confidence scoring, where the authentication result includes a measure of certainty. This allows the system to adjust acceptance criteria based on how well the current touch sequence matches the user's established pattern, providing flexibility while maintaining security.
3Adaptability or versatility
If continuous gestures are used for authentication, then touch screen capabilities are leveraged, but the system does not utilize discrete touch events with characterizing elements
Solution Approach 1:
The patent segments the authentication process into discrete touch events, each with measurable attributes (position, force, duration). By analyzing the sequence and characteristics of individual touches rather than continuous gestures, the system captures more granular behavioral data while maintaining manageable complexity through structured attribute collection.
Data Source
AI summary
A system and method is provided for visual authentication and authorization of a user for mobile touch devices, the system having: a login display on a mobile touch device displaying a visual pattern; a data collection engine whereby touch attributes are obtained from a plurality of user touch events to the mobile touch device with reference to the visual pattern, the touch attributes comprise measured touch attributes and derived touch attributes calculated from the measured touch attributes; an authentication engine whereby the touch attributes are compared to projected user touch attributes derived from user touch attribute values obtained during prior successful logins.