Acoustic Transfer Function User Authentication

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Solution Overview

Problem

Existing wearable devices lack effective methods for user identification and authentication, particularly in preventing unauthorized access to sensitive data, due to variations in individual head geometries affecting sound perception.

Innovation Solution

An audio system with a sensor array and controller determines personalized acoustic transfer functions based on detected sounds, using these functions to identify and authenticate users by analyzing how sounds are transformed by the user's head geometry.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional user identification methods are used in wearable devices, then device operation is simple, but user security and authentication reliability are insufficient

Engineering Contradiction:
Improveuser authentication reliabilityVSAvoidauthentication system complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent replaces traditional mechanical or manual authentication methods (passwords, PINs, physical tokens) with an acoustic-based identification system. The sensor array captures sound waves and the controller analyzes acoustic transfer functions to identify users, substituting physical authentication mechanisms with acoustic field-based detection and processing.

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

Solution Approach 2:

The patent introduces acoustic transfer functions as an intermediary between the sound source and user identification. The sensor array detects sounds, the controller computes acoustic transfer functions that characterize the user's head geometry, and these functions serve as the mediating data structure for authentication decisions, enabling reliable identification without direct mechanical interaction.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Measurement precision

If acoustic transfer functions are used for user identification, then authentication precision is improved, but measurement and detection difficulty increases

Engineering Contradiction:
Improveuser identification precisionVSAvoidacoustic transfer function measurement difficulty
Core Design Contradiction:
Measurement precisionVSDifficulty of detecting and measuring

Solution Approach 1:

The patent implements self-service by having the system automatically perform the entire acoustic measurement and identification process without requiring user intervention. The sensor array continuously captures ambient sounds, the controller autonomously computes acoustic transfer functions, and the system automatically compares these against stored profiles to identify the user, eliminating the need for manual calibration or user participation in the measurement process.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent applies preliminary action by pre-computing and storing acoustic transfer functions for multiple users before actual authentication is needed. During operation, the system only needs to capture a sound sample and compare it against the pre-established acoustic profiles, significantly reducing the real-time measurement and processing requirements while maintaining high identification precision.

Inventive Principle:
Principle #10Preliminary action

3Adaptability or versatility

If personalized acoustic transfer functions are implemented, then user-specific audio experiences are achieved, but system complexity and processing requirements increase

Engineering Contradiction:
Improvepersonalized audio capabilityVSAvoidaudio processing system complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent achieves universality by designing an acoustic identification system that serves multiple functions: it identifies users for authentication purposes, characterizes their head geometry, and enables personalized audio processing. The same sensor array and controller that compute acoustic transfer functions for security authentication also provide the data needed for customized audio experiences, allowing one system to fulfill multiple roles without requiring separate dedicated components.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This approach enables secure user identification and authentication by leveraging unique acoustic transfer functions associated with each user, preventing unauthorized access and providing personalized audio experiences.

Implementation Method 1

a sensor array that includes a plurality of acoustic sensors that are configured to detect a sound transmitted within a local area of the audio system

Methodology Applied
Scientific EffectSound wave detection: Sound

Implementation Method 2

determining at least one acoustic transfer function associated with a user based in part on the detected sound, wherein the at least one acoustic transfer function defines a transformation of the sound cause in part by a head of a user of the headset

Methodology Applied
Scientific EffectAcoustic transfer function: Acoustics

Data Source

PatentUS11526589B2Wearer identification based on personalized acoustic transfer functions
Publication Date: 2022.12.13 META PLATFORMS TECHNOLOGIES LLC
  • US11526589B2 patent drawing
  • US11526589B2 patent drawing
  • US11526589B2 patent drawing

AI summary

A wearable device includes an audio system. In one embodiment, the audio system includes a sensor array that includes a plurality of acoustic sensors. When a user wears the wearable device, the audio system determines an acoustic transfer function for the user based upon detected sounds within a local area surrounding the sensor array. Because the acoustic transfer function is based upon the size, shape, and density of the user's body (e.g., the user's head), different acoustic transfer functions will be determined for different users. The determined acoustic transfer functions are compared with stored acoustic transfer functions of known users in order to authenticate the user of the wearable device.