Biometric Authentication System Adapting to Physiological Changes
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing identification systems fail to accurately authenticate users over time due to physiological changes in biometric parameters, such as heart rate and cardiac cycle patterns, which can become less unique as individuals age or experience health changes.
Innovation Solution
A biometric authentication system that adapts to temporal changes by using a combination of devices to measure multiple biometric parameters, including cardiac cycle waveforms, and updates a validation template with weighted fusion parameters to ensure accurate identification, even as traits change.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a biometric authentication system uses fixed biometric parameters for identification, then the system is simple to implement, but the identification accuracy deteriorates over time due to physiological changes
Solution Approach 1:
The system dynamically adjusts the validation template by incorporating recent biometric measurements and updating fusion parameters based on temporal changes. This allows the system to adapt to physiological changes over time while maintaining identification accuracy, resolving the contradiction between reliability and adaptability.
Solution Approach 2:
The system changes the parameters of the validation template by updating fusion parameters and incorporating new biometric measurements. This parameter adaptation enables the system to maintain reliability despite physiological changes in the user's biometric traits.
2Adaptability or versatility
If the system updates the validation template frequently to adapt to changes, then adaptability improves, but the computational complexity and processing time increase
Solution Approach 1:
The system performs partial updates to the validation template by incorporating only the necessary recent measurements and adjusting fusion parameters selectively. This reduces the computational burden while maintaining adaptability to physiological changes.
3Reliability
If multiple biometric parameters are measured to improve identification accuracy, then reliability improves, but the device complexity increases
Solution Approach 1:
The system uses a multi-functional approach by measuring multiple biometric parameters (cardiac cycle waveform, heart rate, inter-beat interval) that can be obtained through a single sensor device. This maintains reliability through multiple parameters while minimizing device complexity.
Data Source
AI summary
Systems and methods for authenticating a user are disclosed. In some embodiments, information regarding multiple biometric parameters is gathered from a test subject and compared with a validation template. The validation template can be augmented with some or all of the information if the user is successfully authenticated.