Avatar Motion Fingerprinting for Secure User Authentication
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Solution Overview
Problem
Current techniques lack effective methods for authenticating users during computer-mediated interactions, particularly when avatars are used, leading to security and safety risks as nefarious users can impersonate others, especially vulnerable users like children.
Innovation Solution
A computer-implemented method generates a fingerprint representing the motions of an avatar driven by a user, using a trained machine learning model to compare this fingerprint with stored fingerprints, ensuring authentication based on motion patterns rather than appearance, employing a dynamic contrastive loss function to differentiate between identical and different user identities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If avatars are used to represent users during computer-mediated interactions, then user privacy and comfort are improved, but user authentication capability deteriorates
Solution Approach 1:
The patent introduces motion fingerprints as an intermediary mechanism that bridges avatar representation and user identity verification. Instead of directly observing the user, the system extracts motion characteristics from the avatar's movements and uses these as a mediator to authenticate the user's identity, thus maintaining privacy while enabling verification
Solution Approach 2:
The patent replaces traditional visual identification mechanisms with a motion-based fingerprinting system. Instead of relying on visual appearance or direct observation, the system substitutes a computational approach that analyzes motion patterns, transforming the authentication process from a visual-mechanical system to a data-processing system
2Ease of manufacture
If traditional visual identification methods are used, then user authentication is straightforward, but security against impersonation deteriorates
Solution Approach 1:
The patent changes the authentication parameter from visual appearance to motion characteristics. By extracting motion fingerprints that capture the unique way users move and gesture, the system creates a more secure authentication mechanism that is difficult to replicate, thereby improving security against impersonation while maintaining ease of use
3Reliability
If motion fingerprinting is implemented for authentication, then user identity verification is improved, but system complexity increases
Solution Approach 1:
The patent segments the authentication process into distinct modules: avatar motion extraction, motion fingerprint generation, and identity verification. This segmentation allows each component to be developed and optimized independently, managing system complexity while improving verification reliability
Solution Approach 2:
The patent creates a digital copy of the user's motion patterns in the form of a motion fingerprint. This copy serves as a verifiable identifier that can be stored and compared without requiring continuous complex processing, thus improving verification reliability while managing computational complexity
Data Source
AI summary
Techniques are disclosed herein for authenticating users. The techniques include generating a first fingerprint that represents one or more motions of a first avatar that is driven by a first user, and determining an identity of the first user based on the first fingerprint and a second fingerprint associated with the first user.