3D Pattern Authentication for Secure User Verification
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Solution Overview
Problem
Traditional user authentication methods, such as passwords and signatures, are insecure and inconvenient, especially for remote access to electronic devices, as they can be forgotten, lost, or compromised, and do not provide robust security for multi-user transactions.
Innovation Solution
Implementing three-dimensional (3D) signature authentication using visual computing devices, where users create and recreate 3D patterns or hand gestures, which are compared to stored signatures within a margin of error for authentication, with optional biometric verification, to securely authenticate users on electronic devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional authentication methods (passwords, signatures) are used, then ease of operation is maintained, but security and reliability are compromised
Solution Approach 1:
The patent transitions from two-dimensional signature authentication to three-dimensional spatial pattern authentication. Users create and authenticate by forming 3D patterns using hand gestures or objects in physical space, which are captured by depth-sensing cameras. This dimensional upgrade provides richer data for verification while maintaining natural, intuitive interaction.
Solution Approach 2:
The patent replaces traditional mechanical input methods (typing passwords, writing signatures on touch screens) with gesture-based spatial recognition. Depth cameras capture three-dimensional hand movements and object arrangements, substituting physical writing mechanics with optical field detection and spatial coordinate analysis.
2Reliability
If three-dimensional pattern authentication is implemented, then security and reliability are improved, but device complexity increases
Solution Approach 1:
The patent employs depth-sensing cameras that serve multiple functions: capturing 3D hand gestures, detecting spatial relationships between objects, verifying pattern geometry, and potentially performing other sensing tasks. This multi-functionality reduces the need for separate specialized hardware components.
Solution Approach 2:
The system uses readily available consumer electronics (smartphones, tablets, or PCs with depth cameras) that users already possess. The authentication functionality leverages existing hardware capabilities without requiring dedicated specialized devices, reducing overall system complexity.
3Reliability
If three-dimensional patterns are used for authentication, then robust security for multi-user transactions is achieved, but measurement precision requirements increase
Solution Approach 1:
The patent divides the 3D pattern into multiple geometric features (vertices, edges, faces, spatial relationships) that are independently measured and verified. This segmentation allows the system to tolerate minor variations in individual features while maintaining overall pattern recognition accuracy through collective feature verification.
Solution Approach 2:
The system transforms physical 3D patterns into standardized digital representations using consistent coordinate systems, scaling references, and orientation normalizations. This parameter standardization enables precise comparison between captured patterns and stored templates, accommodating natural variations in user performance.
Data Source
AI summary
A method implemented on a visual computing device to authenticate one or more users includes receiving a first three-dimensional pattern from a user. The first three-dimensional pattern is sent to a server computer. At a time of user authentication, a second three-dimensional pattern is received from the user. The second three-dimensional pattern is sent to the server computer. An indication is received from the server computer as to whether the first three-dimensional pattern matches the second three-dimensional pattern within a margin of error. When the first three-dimensional pattern matches the second three-dimensional pattern within the margin of error, the user is authenticated at the server computer. When the first three-dimensional pattern does not match the second three-dimensional pattern within the margin of error, user is prevented from being authenticated at the server computer.