Adaptive Biometric Authentication Sequencing for Ambient Conditions
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Solution Overview
Problem
Existing personal authentication technologies, such as those described in Patent Literature 1, face challenges in maintaining authentication accuracy and efficiency due to a fixed execution order of biometric modalities (face and voice) that does not adapt to varying environmental conditions, leading to decreased accuracy and prolonged authentication times.
Innovation Solution
An authentication guide device and method that acquires ambient condition information to dynamically determine the execution order for biometric authentication, using a multimodal authentication device with sensors for face, fingerprint, and voice biometrics, and a processor to adaptively guide the user through the most effective authentication sequence based on environmental, usage, and user-specific conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a fixed execution order for biometric authentication is used, then the authentication process is simple to implement, but the authentication accuracy decreases in varying environmental conditions
Solution Approach 1:
The patent implements dynamic adjustment of authentication modality execution order based on environmental conditions. The system detects ambient conditions (lighting, noise levels) and dynamically determines which biometric authentication methods to execute and in what order, rather than following a fixed sequence. This resolves the contradiction by making the authentication process adaptive to environmental variations while maintaining reasonable system complexity through automated condition-based decision-making.
Solution Approach 2:
The system changes operational parameters (execution order of authentication modalities) based on environmental parameters (lighting conditions, noise levels). By monitoring environmental parameters and adjusting the authentication process parameters accordingly, the system maintains high authentication accuracy across different conditions without requiring overly complex manual configuration.
2Productivity
If a fixed execution order for biometric authentication is used, then the system is easy to operate, but the authentication time increases due to inappropriate modality sequencing
Solution Approach 1:
The system dynamically optimizes the execution order of biometric authentication modalities based on real-time environmental conditions. By automatically adapting the authentication sequence to match current environmental factors (such as prioritizing voice authentication in low light conditions), the system improves authentication efficiency without requiring users to manually configure complex settings, thus maintaining ease of operation.
Solution Approach 2:
The authentication system performs self-optimization by automatically detecting environmental conditions and adjusting its own execution order without user intervention. The system serves itself by making intelligent decisions about which authentication modalities to execute and in what order, improving productivity while keeping the user experience simple and unchanged.
3Reliability
If environmental conditions are not considered, then the authentication process is straightforward, but the authentication accuracy decreases in suboptimal conditions
Solution Approach 1:
The system performs preliminary detection of environmental conditions before executing biometric authentication. By assessing lighting, noise, and other environmental factors in advance, the system can pre-determine the optimal authentication modality sequence, ensuring high accuracy from the start. This preliminary environmental assessment adds minimal complexity while significantly improving reliability.
Solution Approach 2:
The system incorporates environmental condition monitoring as feedback into the authentication decision-making process. By continuously sensing environmental parameters and using this feedback to adjust the authentication execution order, the system maintains high accuracy adaptively. The feedback mechanism adds controlled complexity that directly contributes to improved reliability.
Data Source
AI summary
An authentication guide device includes: one or more acquisition units configured to acquire ambient condition information at the time of acquisition of one or more pieces of biometric information of a person to be used for a plurality of types of biometric authentication; a guide determination unit configured to determine, based on ambient environment information, a guide method for presenting an execution order for preferentially executing the plurality of types of biometric authentication on a person; and a guide display unit configured to display the guide method on a display unit.


