Gesture Authentication Mapping for Faster Secure App Access
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Solution Overview
Problem
Existing user authentication methods, such as passwords and two-factor authentication, are time-consuming and inefficient for accessing sensitive information, particularly in modern computing environments where quick and secure access is desired.
Innovation Solution
A computing device uses gesture recognition to authenticate users and automatically navigate to specific application pages by mapping user gestures to application functions, allowing for direct access without the need for additional navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional authentication methods (passwords, two-factor authentication) are used, then security is maintained, but access time increases and user efficiency decreases
Solution Approach 1:
The patent segments the authentication process by dividing it into multiple gesture options presented to the user. Instead of a single lengthy authentication sequence, the system breaks down authentication into discrete gesture choices that can be quickly selected and executed, reducing overall access time while maintaining security through multiple verification layers.
Solution Approach 2:
The system performs preliminary actions by pre-presenting multiple authentication gesture options to the user before the actual authentication occurs. This allows the user to mentally prepare and quickly select from predefined gestures, eliminating the need for complex real-time authentication sequences and significantly reducing access time.
2Reliability
If multiple authentication steps are required, then security is enhanced, but device complexity and operational difficulty increase
Solution Approach 1:
The patent merges multiple authentication considerations into a single unified gesture selection interface. Instead of requiring separate steps for different authentication factors, the system combines them into one streamlined process where the user selects from pre-configured gesture options that inherently incorporate multiple security验证 layers, thereby reducing perceived complexity while maintaining security.
Solution Approach 2:
The authentication system is designed with universality by creating a multi-functional gesture selection interface that can handle various authentication scenarios through a single unified mechanism. The same interface presents different gesture options depending on the context, user profile, or security level required, eliminating the need for multiple specialized authentication interfaces and reducing overall system complexity.
3Productivity
If gesture recognition is implemented for direct access, then access speed improves, but system complexity increases
Solution Approach 1:
The system uses copying by creating simplified digital representations of gestures rather than implementing full complex gesture recognition. Instead of analyzing intricate motion patterns, the system uses pre-defined gesture models that are easier to process, maintaining fast access speed while reducing the computational complexity of the recognition system.
Solution Approach 2:
The patent applies parameter changes by transforming complex continuous gesture data into discrete categorized gesture types. By changing the parameter representation from continuous motion coordinates to discrete gesture categories, the system achieves fast recognition speeds while significantly reducing the complexity of the underlying recognition algorithms.
Data Source
AI summary
In some examples, a computing device can receive information about different gestures and output different application pages of an application, depending on the type of gesture associated with the information received. Mappings can be used to determine the application page to output a command to display, based on the gesture.