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

VSEngineering 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

Engineering Contradiction:
Improveuser privacyVSAvoididentity verification
Core Design Contradiction:
Loss of informationVSReliability

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.

Inventive Principle:
Principle #24Intermediary (Mediator)

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.

Inventive Principle:
Principle #35Parameter changes

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

Engineering Contradiction:
Improveuser persona flexibilityVSAvoidverification system complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

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.

Inventive Principle:
Principle #1Segmentation

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

Engineering Contradiction:
Improveuser interaction simplicityVSAvoididentity recognition accuracy
Core Design Contradiction:
Ease of operationVSMeasurement precision

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.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS12587383B2Method and system for out-of-band user identification in the metaverse via biographical (bio) ID
Publication Date: 2026.03.24 AT&T INTELLECTUAL PROPERTY I L P
  • US12587383B2 patent drawing
  • US12587383B2 patent drawing
  • US12587383B2 patent drawing

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.