Ratiometric Biometric Impedance Feature Extraction for Secure Authentication
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Solution Overview
Problem
Current biometric authentication technologies, particularly image-based methods, face challenges in data security and reliability, as stolen data is difficult to discard and replace, whereas frequency-based methods offer higher reliability but require complex data modulation.
Innovation Solution
An electronic device that extracts ratiometric feature data based on biometric impedance by applying measurement signals of different frequencies to a user's body using electrodes and processing the resulting impedance data to generate secure and reliable feature data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If image-based biometric authentication technology is used, then data storage and identification are straightforward, but stolen data cannot be discarded or replaced, reducing security reliability
Solution Approach 1:
The patent changes the fundamental parameter of biometric data from static image data to dynamic frequency-based impedance data. By measuring electrical impedance at multiple frequencies and using ratio calculations, the system creates biometric features that can be regenerated if stolen, fundamentally improving security reliability while maintaining manageable data complexity through standardized measurement protocols
2Reliability
If frequency-based biometric authentication technology is used, then stolen data can be discarded and replaced, improving reliability, but the system becomes more complex due to frequency modulation requirements
Solution Approach 1:
The patent segments the frequency-based measurement into discrete frequency points (e.g., multiple fixed frequencies) rather than requiring continuous frequency modulation. By measuring impedance at specific segmented frequency points and using ratio calculations between these discrete measurements, the system achieves the security benefits of frequency-based methods while simplifying the signal processing requirements through standardized, repeatable measurements
3Measurement precision
If multiple frequency measurement signals are applied to obtain comprehensive biometric impedance data, then feature extraction accuracy improves, but measurement time and energy consumption increase
Solution Approach 1:
The patent employs periodic action by systematically cycling through multiple fixed frequency measurements in a structured sequence. Each frequency measurement follows the same standardized procedure, allowing for efficient parallel processing and predictable timing. The periodic nature of these measurements enables optimized scheduling that balances comprehensive feature extraction with minimal measurement time through consistent, repeatable measurement cycles
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
The solution provides a secure and reliable biometric authentication system by generating feature data from biometric impedance, which is less susceptible to changes and easier to replace, enhancing the overall accuracy and reliability of user recognition.
Implementation Method 1
an impedance measuring unit including electrodes, that applies a first measurement signal of a first frequency to a user, obtains first biometric impedance data, based on first electrodes among the electrodes, and obtains second biometric impedance data, based on second electrodes among the electrodes
Data Source
AI summary
Disclosed is an electronic device. The electronic device includes an impedance measuring unit including electrodes, that applies a first measurement signal of a first frequency to a user, obtains first biometric impedance data, based on first electrodes among the electrodes, and obtains second biometric impedance data, based on second electrodes among the electrodes, and a signal processor that extracts first feature data of the user, based on the first biometric impedance data and the second biometric impedance data. The first feature data may be based on a ratio between a value of the first biometric impedance data and a value of the second biometric impedance data.