Adaptive User Identity Verification Across Device Capabilities
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Solution Overview
Problem
Existing user identity verification methods in electronic devices lack the ability to dynamically adapt to varying scenarios, leading to inconsistent user experience in terms of convenience, accuracy, and security.
Innovation Solution
A method and electronic device that determine a target identity verification manner based on device information, such as hardware parameters, wireless transmission information, and enabled functions, to match the current scenario, thereby selecting the most appropriate verification method for improved user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple identity verification manners are provided to improve user experience, then the adaptability to different scenarios is improved, but the device complexity increases
Solution Approach 1:
The system dynamically selects the appropriate identity verification manner based on current scenario and device capabilities rather than using a fixed verification method. The first device determines the target identity verification manner from multiple available manners by analyzing device information and scenario context, making the verification system adaptive and flexible without requiring all verification components to be permanently active simultaneously
Solution Approach 2:
The first device is designed to support multiple identity verification manners (facial recognition, voiceprint recognition, fingerprint recognition, soft biometric trait recognition) and can function as a universal verification platform. By obtaining device information about the second device and determining the most suitable verification manner, the system achieves multi-functionality without requiring separate dedicated systems for each verification type
2Measurement precision
If the identity verification system collects and processes more device information to determine the target verification manner, then the accuracy of scenario matching is improved, but the data usage and processing time increase
Solution Approach 1:
The system performs preliminary analysis by obtaining device information (hardware parameters, device type, wireless transmission information, device functions) before the actual identity verification process. This preliminary action allows the system to pre-determine the most suitable verification manner, so that when verification is needed, the process can proceed quickly without analyzing all possible verification types in real-time
Solution Approach 2:
The system changes verification parameters by selecting different identity verification manners based on device information parameters. By analyzing hardware parameters, device type, wireless transmission information, and device functions, the system adjusts the verification approach to match the specific device capabilities and scenario requirements, achieving accurate matching without unnecessary processing
Data Source
AI summary
A device configured to collect to-be-verified identity information of a user and a device configured to verify the to-be-verified identity information may perform a user identity verification method. The device configured to collect the to-be-verified identity information or the device configured to verify the to-be-verified identity information may determine a target identity verification manner applicable to a non-self device from a plurality of identity verification manners based on device information of the non-self device.