Blood Flow Parameter Authentication
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Solution Overview
Problem
Existing user authentication methods lack a secure and repeatable way to verify user identity, especially in scenarios where traditional methods may fail or are impractical.
Innovation Solution
The method involves measuring and comparing blood flow parameters, including physiological, morphological, and statistical characteristics, using sensors to authenticate users by generating and matching parameters from one user device to another, ensuring secure pairing and access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional authentication methods (PIN, fingerprint, iris) are used, then user authentication can be performed, but the security and reliability are insufficient and can fail or be impractical in certain scenarios
Solution Approach 1:
The patent changes the authentication parameter from traditional biometric data (fingerprint, iris) to blood flow parameters (physiological, morphological, statistical characteristics). This parameter change enables more reliable and accurate authentication by using dynamic blood flow patterns that are difficult to replicate or fake, directly addressing the reliability and accuracy shortcomings of traditional methods
Solution Approach 2:
The patent replaces mechanical/physical biometric systems (fingerprint scanners, iris cameras) with a physiological monitoring system that measures blood flow characteristics. This substitution provides more robust authentication by utilizing the body's natural physiological responses, which are harder to compromise than traditional biometric templates
2Measurement precision
If blood flow parameters are measured and compared in real-time, then authentication accuracy is improved, but the system complexity and processing requirements increase
Solution Approach 1:
The patent segments the blood flow measurement process into distinct components: physiological characteristic extraction, morphological characteristic extraction, and statistical characteristic extraction. This segmentation allows each component to be processed independently and simplifies the overall system architecture while maintaining high authentication accuracy through comprehensive parameter analysis
Solution Approach 2:
The patent performs preliminary extraction and characterization of blood flow parameters before the actual authentication decision is made. By pre-processing the raw blood flow data into meaningful physiological, morphological, and statistical characteristics, the system reduces computational complexity during the critical authentication moment while preserving accuracy
3Reliability
If multiple blood flow parameters are combined for authentication, then security is enhanced, but the measurement and processing time increases
Solution Approach 1:
The patent merges three types of blood flow parameter analysis (physiological, morphological, and statistical characteristics) into a unified authentication framework. By combining these complementary parameter sets, the system achieves enhanced security through multi-dimensional verification while the integrated approach optimizes processing efficiency compared to separate analysis systems
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 provides a secure and reliable user authentication method that is resistant to changes in blood flow patterns due to health conditions, such as cardiac arrhythmia, and offers robust security by combining with other authentication forms, achieving high accuracy and adaptability.
Implementation Method 1
measuring and comparing blood flow parameters, including physiological, morphological, and statistical characteristics, using sensors
Data Source
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AI summary
Blood flow of a user can be measured using a sensor. Sensor data based on the measuring of the blood flow can be generated. Based on the sensor data, at least a first physiological biomarker of the blood flow measured by the sensor and at least a first morphological characteristic of the blood flow measured by the sensor can be determined. The user can be authenticated based, at least in part, on the first physiological biomarker and the first morphological characteristic.