Biometric Identity Confirmation Using Pulse Wave and Spirometric Data
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Solution Overview
Problem
Current biometric identification methods face challenges in specificity, constancy over time, and complexity, particularly with single-parameter biometrics like weight, and require sophisticated algorithms for image-based techniques, which can be cumbersome and prone to counterfeiting.
Innovation Solution
A system utilizing both pulse wave and spirometric data for biometric identity confirmation, involving non-invasive sensing with a computer processor, pulse sensors, and spirometric sensors to generate and analyze subject characterization data for authentication, employing algorithms to determine identity similarity and detect deception.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If single-parameter biometric identifiers (such as weight or height) are used for identification, then the system is simple to implement, but the specificity and reliability of identification deteriorates
Solution Approach 1:
The patent combines multiple biometric parameters (spirometric data from lung function tests and pulse wave data from cardiovascular measurements) into a unified identification system. This merging of parameters creates a multi-dimensional biometric profile that significantly improves identification specificity while maintaining system simplicity through integrated measurement protocols
2Measurement precision
If image-based biometric techniques (fingerprint, retinal, iris, facial scans) are used, then identification specificity is improved, but device complexity and computational requirements increase
Solution Approach 1:
The patent replaces complex image processing systems with physiological measurement systems that capture pulse wave and spirometric data. This substitution eliminates the need for sophisticated image analysis algorithms while maintaining high identification specificity through unique cardiovascular and respiratory pattern recognition
3Device complexity
If voice recognition is used for biometric identification, then the system is simpler to implement compared to image processing, but susceptibility to external conditions and counterfeiting increases
Solution Approach 1:
The patent introduces pulse wave and spirometric data as intermediary measurements that capture internal physiological states. These measurements serve as mediators between the subject and the identification system, providing a more secure and reliable authentication mechanism that is difficult to counterfeit compared to voice recognition while maintaining implementation simplicity
4Speed
If body-mounted sensors are used for continuous identity tracking, then real-time verification capability is improved, but vulnerability to sensor transfer by impostors increases
Solution Approach 1:
The patent employs multiple physiological parameters (pulse wave characteristics and spirometric measurements) that change with the subject's internal state. This multi-parameter approach ensures that even if a sensor is transferred, the unique physiological patterns cannot be replicated, maintaining reliable continuous identity tracking while enabling real-time verification
Data Source
AI summary
A biometric identity confirmation system is based on both pulse wave data and spirometric data for the subject. During an initial enrollment mode, pulse wave and spirometric data for a known subject are used to generate subject characterization data for the known subject. During a subsequent identity authentication mode, pulse wave and spirometric data for a test subject are analyzed using the subject characterization data to confirm whether the identity of the test subject matches the known subject.