Biographical ID Verification for Trusted Metaverse User Recognition
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Solution Overview
Problem
In the metaverse, it is difficult to recognize and verify the real identities of users due to the use of virtual avatars, which complicates trust and security in interactions, especially across multiple virtual worlds where users can have different personas.
Innovation Solution
A member recognition platform utilizing AI/ML-based facial and voice recognition, mobility checks, and experience-based challenges to verify user identities through hash encodings and location-based queries, ensuring privacy and secure interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If virtual avatars are used to represent users in the metaverse, then user privacy and anonymity are improved, but user identity verification and trust become difficult
Solution Approach 1:
The patent introduces an intermediary verification system that uses biographical IDs and out-of-band verification channels to mediate between user anonymity and identity verification. The system verifies identities through multiple independent channels (biometric data, location information, device identifiers) without exposing personal information, thus maintaining privacy while enabling reliable verification.
Solution Approach 2:
The patent transforms the verification approach by changing parameters from direct identity exposure to cryptographic proof verification. Instead of revealing personal information, the system uses hashed biographical data and cryptographic signatures to prove identity attributes, maintaining anonymity while enabling verification through parameter transformation.
2Adaptability or versatility
If users can have different personas across multiple virtual worlds, then adaptability and versatility are improved, but user recognition and trust become complicated
Solution Approach 1:
The patent segments the verification system into modular components: biographical ID generation, out-of-band verification channels, cryptographic signature verification, and persona management. Each component handles specific verification tasks independently, reducing overall system complexity while supporting multiple personas through structured verification processes.
3Ease of operation
If traditional visual recognition methods are used in the metaverse, then ease of operation is maintained, but measurement precision of user identity deteriorates
Solution Approach 1:
The patent replaces traditional visual/mechanical recognition methods with cryptographic and biometric verification systems. Instead of relying on avatar appearance or visual cues, the system uses cryptographic signatures and biometric data verification to accurately identify users, maintaining operational simplicity through automated verification processes.
Data Source
AI summary
Aspects of the subject disclosure may include, for example, detecting a need to verify an identity of a particular user in the metaverse, obtaining a particular hash/encoding associated with the particular user, wherein the particular hash/encoding is generated based on processing of a video, image, voice recording, or biometric information associated with the particular user, retrieving a second hash/encoding from a user profile of a first user, wherein the second hash/encoding corresponds to a second user and is generated based on processing of a video, image, voice recording, or biometric information associated with the second user, performing a comparison of the second hash/encoding and the particular hash/encoding, and based on a determination that there is a match, identifying that the particular user corresponds to the second user, resulting in a verification of the identity of the particular user. Other embodiments are disclosed.


