Physiologic Biometric Identity Confirmation via Segmented Verification
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Solution Overview
Problem
Current security systems are vulnerable to unauthorized access, as they rely on passwords and biometrics that can be compromised through theft, torture, or other means, and lack a robust method for confirming identity using multiple physiological parameters.
Innovation Solution
A method that combines the measurement of specific biometrics, such as respiratory and cardiac parameters, with password verification, using ambulatory devices like wearable garments with integrated sensors to compare physiological data against baseline profiles for accurate identity confirmation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional passwords and biometrics are used for security verification, then the system is easy to operate, but the system is vulnerable to unauthorized access through theft, torture, or other means
Solution Approach 1:
The security verification process is segmented into multiple independent stages: initial password verification stage and physiological biometric verification stage. Each stage measures different parameters (password knowledge vs. respiratory/cardiac patterns), so compromising one stage does not automatically compromise the other. This segmentation prevents unauthorized access even if one verification method is breached.
Solution Approach 2:
The system merges two distinct verification methods (password authentication and physiological biometric measurement) into a unified security protocol. Both methods must be satisfied simultaneously for access grant, creating a combined security barrier that is more resistant to theft and torture than either method alone.
2Measurement precision
If multiple physiological parameters are measured for accurate identity confirmation, then the measurement precision is improved, but the device complexity increases
Solution Approach 1:
The wearable device incorporates multiple sensors (respiratory sensors, cardiac sensors) that can measure different physiological parameters simultaneously. This multi-functional device design achieves high measurement precision for identity confirmation without requiring multiple separate devices, thereby managing complexity through integration rather than proliferation of components.
Solution Approach 2:
The system performs preliminary measurement of baseline physiological parameters during a training phase, storing these reference values for later comparison. This preliminary action enables accurate real-time verification by comparing current measurements against pre-established baselines, reducing the computational complexity during actual authentication while maintaining high precision.
3Reliability
If physiological sensors are attached to wearable items for continuous monitoring, then the reliability of biometric data is improved, but the ease of operation decreases due to constraining the user
Solution Approach 1:
The system uses flexible wearable items (such as garments or bands) with integrated sensors that conform to the body's contours. These flexible structures provide continuous physiological monitoring with high reliability while minimizing physical constraint and discomfort, allowing users to maintain normal daily activities including sleeping and exercise.
Solution Approach 2:
The wearable device is designed to be dynamic and adaptable, allowing users to don and doff the device as needed. The system can operate in different monitoring modes (continuous or periodic) depending on user activity level, balancing data reliability with user comfort and freedom of movement.
Data Source
AI summary
The invention provides a method for verifying a person's identity, which includes obtaining a password and/or random key from a person, and comparing the obtained password and/or random key to a plurality of known passwords and/or random keys to determine a likely identity of the person. The method further includes measuring a specific biometric of the person, the specific biometric comprising a respiratory, cardiac, or other physiologic biometric, and comparing the measured specific biometric to the known specific biometric of the person that is associated with the obtained password and/or random key to verify the likely identity of the person.