Neuro-mechanical Fingerprint Authentication via Accelerometer Motion Analysis

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Solution Overview

Problem

Existing user authentication methods using anatomical and behavioral biometrics are not foolproof, require additional hardware, consume high power, and pose privacy risks, making them costly and intrusive.

Innovation Solution

Employing neuro-mechanical fingerprints (NFPs) captured by 3-D sensors and signal processing to analyze neuro-muscular micro-functions, which are translated into unique signal features for user identification, allowing local authentication without the need for centralized databases and minimizing power consumption.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If anatomical biometrics (fingerprint, iris, vein) are used for authentication, then security is improved, but additional hardware is required and costs increase

Engineering Contradiction:

Improveauthentication securityVSAvoidhardware requirements

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent replaces anatomical biometric hardware (fingerprint sensors, iris cameras, vein scanners) with a software-based solution that uses existing accelerometer data. The mechanical/optical sensing systems are substituted with computational analysis of motion patterns, eliminating the need for specialized authentication hardware while maintaining security.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent makes the accelerometer serve multiple functions: its primary function for motion tracking is combined with a secondary function for authentication. By analyzing existing accelerometer data for behavioral patterns, the system eliminates the need for dedicated biometric hardware, as the same sensor performs both navigation/motion detection and security authentication.

Inventive Principle:

Principle #6Universality (Multi-functionality)

2Reliability

If behavioral biometrics (typing, handwriting, voice) are used for authentication, then security is improved, but power consumption increases due to continuous sensing

Engineering Contradiction:

Improveauthentication securityVSAvoidpower consumption

Core Design Contradiction:

ReliabilityVSUse of energy by moving object

Solution Approach 1:

The system performs preliminary analysis by pre-processing accelerometer data to identify distinctive motion patterns during normal device usage. By establishing behavioral baselines in advance during normal operation, the system can perform rapid authentication checks without requiring continuous high-power sensing, thus reducing overall power consumption while maintaining security.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

Instead of continuous monitoring, the system uses periodic authentication checks based on distinctive motion patterns detected during natural device interaction. The accelerometer processes data in discrete authentication events rather than continuous streams, reducing power consumption while maintaining security through periodic verification of behavioral patterns.

Inventive Principle:

Principle #19Periodic action

3Measurement precision

If centralized biometric databases are used for authentication, then recognition accuracy is improved, but privacy risks and data security concerns increase

Engineering Contradiction:

Improverecognition accuracyVSAvoidprivacy risks

Core Design Contradiction:

Measurement precisionVSObject-affected harmful factors

Solution Approach 1:

The patent extracts only the essential authentication function from centralized database systems. Instead of storing and processing personal biometric data centrally, the system extracts behavioral motion patterns locally on the device and performs authentication independently, eliminating the need for centralized databases and associated privacy risks while maintaining recognition accuracy through local pattern matching.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The patent introduces local device processing as an intermediary between the user and any potential centralized systems. By performing authentication locally using accelerometer data and behavioral patterns, the system creates a privacy-preserving layer that prevents exposure of sensitive personal information to centralized databases or networks, thereby reducing privacy risks while maintaining accurate recognition.

Inventive Principle:

Principle #24Intermediary (Mediator)

4Ease of operation

If traditional login credentials are used for authentication, then ease of use is improved, but security against unauthorized access decreases

Engineering Contradiction:

Improveuser convenienceVSAvoidauthorization security

Core Design Contradiction:

Ease of operationVSReliability

Solution Approach 1:

The system performs self-service authentication by automatically analyzing the user's distinctive motion patterns during natural device interaction. Instead of requiring manual credential entry, the device autonomously verifies the user's identity through behavioral biometrics embedded in normal usage patterns, maintaining ease of use while significantly improving security against unauthorized access.

Inventive Principle:

Principle #25Self-service

Data Source

PatentEP3720040B1Data encryption/decryption using neuro and neuro-mechanical fingerprints

Publication Date: 2025.06.25 AERENDIR MOBILE INC

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AI summary

In accordance with one embodiment, a method for securing data is disclosed. The method includes sensing multi-dimensional motion of a body part of a user to generate a multi-dimensional signal; in response to the multi-dimensional signal and user calibration parameters, generating a neuro-mechanical fingerprint; and encrypting data with an encryption algorithm using the neuro-mechanical fingerprint as a key.