Facial Micro-Movement Authentication Against Spoofing Attacks

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Solution Overview

Problem

Existing biometric authentication mechanisms, such as facial recognition, are vulnerable to attacks and do not adequately leverage the unique, user-specific nature of facial micro-movements for secure and seamless user authentication.

Innovation Solution

Utilizing facial micro-movements captured during a prompted facial gesture, comparing them with a user-specific reference sample to authenticate the user.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If facial recognition is used for authentication, then seamless authentication is achieved, but security against attacks deteriorates

Engineering Contradiction:

Improveseamless authenticationVSAvoidsecurity against attacks

Core Design Contradiction:

Ease of operationVSReliability

Solution Approach 1:

The patent transitions from static facial recognition to dynamic micro-movement analysis. The system captures and analyzes real-time facial muscle movements during gesturing, converting a static biometric approach into a dynamic one that observes temporal changes in facial features, thereby improving security while maintaining seamless authentication

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The patent adds a temporal dimension to facial authentication by analyzing micro-movements over time. Instead of comparing only static facial images, the system captures video data and analyzes the temporal patterns of facial muscle activations, adding time as a new dimension to the authentication process that enhances security

Inventive Principle:

Principle #17Another dimension (Dimensionality change)

2Reliability

If biometric features are used for authentication, then high reward to attacker is achieved, but authentication security deteriorates

Engineering Contradiction:

Improveauthentication securityVSAvoidattack vulnerability

Core Design Contradiction:

ReliabilityVSObject-affected harmful factors

Solution Approach 1:

The patent converts the previously harmful factor of facial immutability (which made facial recognition vulnerable to spoofing) into a benefit by analyzing the dynamic micro-movements that occur during gesturing. The same facial features that could be spoofed with static images now provide unique temporal patterns that are difficult to replicate, turning the vulnerability into a security strength

Inventive Principle:

Principle #22Blessing in disguise (Convert harm into benefit)

Solution Approach 2:

The patent changes the authentication parameter from static facial geometry to dynamic micro-movement patterns. By shifting from comparing fixed facial measurements to analyzing temporal variations in facial muscle activations during gesturing, the system fundamentally changes the biometric parameter being measured, thereby reducing attack vulnerability

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS12525055B2Method, apparatus and computer program for authenticating a user

Publication Date: 2026.01.13 SONY GROUP CORP

AI summary

Examples relate to a method, an apparatus and a computer program for authenticating a user. The method comprises prompting the user to perform a facial gesture. The method comprises recording a facial gesture performed by the user using a visual sensor. The method comprises comparing micro-movements of the user's facial features during the recorded facial gesture with a user-specific reference sample of micro-movements for a specific facial gesture. The method comprises authenticating the user based on a match between the micro-movements of the user's facial features during the recorded facial gesture and the user-specific reference sample of micro-movements for the specific facial gesture.