Gesture-Based Identity Authentication System
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Solution Overview
Problem
Existing two-factor authentication (2FA) methods require users to perform multiple input verification operations, such as inputting voiceprints and fingerprints or fingerprints and passwords, making the verification process complex and time-consuming.
Innovation Solution
A method and apparatus for authenticating identity using a password conversion prompt that converts password characters into gestures, allowing users to input both password and facial feature data simultaneously through a single gesture sequence, thereby simplifying the authentication process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple input verification operations are used (such as inputting voiceprints and fingerprints or fingerprints and passwords), then authentication security is improved, but verification process complexity increases and verification time is extended
Solution Approach 1:
The patent combines multiple authentication factors (password and facial features) into a single unified authentication process. The system captures facial images during password input and performs both password verification and facial feature matching simultaneously, merging what would traditionally be separate verification steps into one integrated process.
Solution Approach 2:
The authentication system is designed to handle multiple authentication methods (password-only, facial feature-only, and combined password-facial feature authentication) through a single unified framework. The same image capture and processing system serves both password input visualization and facial feature extraction purposes.
2Reliability
If multiple input verification operations are used (such as inputting voiceprints and fingerprints or fingerprints and passwords), then authentication security is improved, but verification time is extended
Solution Approach 1:
The system performs facial feature extraction and password verification continuously and simultaneously during the same time period. While the user is inputting their password (which takes a certain amount of time), the system continuously captures facial images and processes them for feature extraction, so that by the time password verification completes, facial feature matching is also complete or near-complete.
Solution Approach 2:
The system performs preliminary facial feature extraction on captured images before final authentication decision is made. Facial images are captured and processed in advance during the password input phase, so that when authentication is needed, the feature extraction is already complete or nearly complete, reducing the overall authentication time.
3Ease of operation
If password characters are displayed during input, then user input accuracy is improved, but password security is compromised due to potential leakage
Solution Approach 1:
The patent introduces an intermediary visualization system that displays abstract geometric shapes or patterns instead of actual password characters. The display shows visual feedback about input status (such as progress indicators or shape transformations) without revealing the actual password content, thus maintaining security while providing user feedback.
Data Source
AI summary
Provided is a method for authenticating identity. The method includes: generating a target random mapping function in response to an identity verification instruction, wherein a random mapping function is a function defined to randomly map characters into gestures; displaying a virtual keyboard based on the target random mapping function, wherein password conversion prompt information corresponding to the target random mapping function is displayed in the virtual keyboard and is defined to prompt to convert password characters in an original password into gestures; acquiring facial feature data by performing facial feature extraction on identity verification images collected by a camera; acquiring a gesture sequence by performing activity detection on the identity verification images; acquiring the original password by performing password conversion on the gesture sequence based on the target random mapping function; and performing identity authentication based on the original password and the facial feature data.


