Exhaled Breath Turbulence Authentication for Spoof-Resistant Biometrics
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Solution Overview
Problem
Existing biometric authentication systems are susceptible to security loopholes and lack a fool-proof mechanism to verify the authenticity of users, as they can be spoofed or work on dead individuals, and existing studies on exhaled breath primarily focus on flow rate calculations rather than using fluid dynamics for user identification.
Innovation Solution
A user authentication system utilizing multidimensional hypothesis testing and machine learning based on fluid dynamic signatures of exhaled breath turbulence, captured by a hot-wire anemometer, to authenticate users through a biometric system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional biometric systems (voice, face, fingerprint) are used for user authentication, then user identification can be achieved, but the system is susceptible to spoofing attacks and can work on dead individuals, compromising security
Solution Approach 1:
The patent extracts and utilizes the turbulent flow signature from exhaled breath as a separate, independent biometric feature. By focusing specifically on the fluid dynamics characteristics of breath turbulence rather than traditional biometric modalities, the system creates a new authentication pathway that is difficult to spoof and requires a living, breathing subject.
Solution Approach 2:
The patent introduces hot-wire anemometer measurements as an intermediary tool to capture and analyze the turbulent flow signature of exhaled breath. This intermediary measurement device enables the system to detect subtle flow characteristics that serve as unique biometric identifiers, bridging the gap between physical breath and digital authentication.
2Loss of information
If exhaled breath flow rate measurements are used, then respiratory physiology understanding can be improved, but the potential for user identification based on fluid dynamics is not utilized
Solution Approach 1:
The patent transitions from conventional one-dimensional flow rate measurements to capturing the multi-dimensional turbulent flow signature of exhaled breath. By analyzing the complex, chaotic flow patterns in the time domain and frequency domain, the system extracts rich biometric information that was previously overlooked in respiratory physiology studies.
Solution Approach 2:
The patent changes the measurement parameters from simple flow rate to comprehensive turbulent flow characteristics including velocity fluctuations, Reynolds number, and spectral analysis features. This parameter transformation enables the system to capture the unique fluid dynamic signature of each individual's breath, making user identification possible.
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
Provides a robust and secure biometric authentication system that distinguishes individuals based on unique turbulence patterns in exhaled breath, offering improved security and personalization in medication delivery.
Implementation Method 1
a biometric hot-wire sensor receives exhaled breath time series velocity signal
Implementation Method 2
Human exhaled breath is largely turbulent, as typically evident from a flow velocity signal measured using a hot-wire anemometer
Data Source
AI summary
The present invention provides a novel user authentication system based on biometric authentication which involves user confirmation and user identification. The user authentication system is based on human exhaled breath, and executed using principles of machine learning. The user authentication system of the present invention can also be used as a diagnostic tool by the correlation of the turbulence information to the occlusion in the extrathoracic passage, which is a major source of deposition of aerosolized therapeutics. The exhaled breath time series velocity signals based diagnosis can also be used for personalized medication and treatment.