Near-Eye Display Biometric Authentication for Continuous User Verification
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Solution Overview
Problem
Near-eye display devices lack effective user authentication mechanisms, allowing unauthorized users to access secure content and communication sessions without proper verification.
Innovation Solution
Implement biometric and behavioral authentication techniques, including fingerprint, gesture, voice recognition, iris scanning, cardio-electrical signal detection, and palmprint detection, integrated into the near-eye display device to securely authenticate users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If biometric authentication mechanisms are integrated into the near-eye display device, then user security and data protection are improved, but device complexity increases
Solution Approach 1:
The patent integrates multiple authentication mechanisms (fingerprint sensor, gesture detection camera, voice recognition microphone, iris scanning camera, cardio-electrical signal electrodes, palmprint camera) directly into the near-eye display device structure. These diverse authentication components are merged with the display device's existing sensors and processing unit, creating a unified system that provides comprehensive security without requiring separate standalone authentication devices.
Solution Approach 2:
The near-eye display device is designed to support multiple authentication methods simultaneously (fingerprint, gesture, voice, iris, cardio-electrical signals, palmprint). This multi-functional approach allows the device to adapt to different security requirements and user preferences, enhancing reliability while utilizing the device's existing computational resources and sensor infrastructure.
2Reliability
If multiple biometric authentication methods are implemented, then authentication reliability is improved, but ease of operation deteriorates
Solution Approach 1:
The system dynamically selects and switches between different authentication methods based on the situation. The processing unit can choose the most appropriate authentication mechanism (fingerprint, gesture, voice, iris, cardio-electrical, or palmprint) depending on environmental conditions, user availability, and security requirements, making the authentication process adaptive and user-friendly while maintaining high reliability.
Solution Approach 2:
The device automatically manages the authentication process by detecting which authentication method is most suitable and initiating the appropriate verification sequence. The system self-regulates the authentication flow, reducing the cognitive burden on users who simply need to follow natural gestures or provide biometric data without needing to understand or select the authentication method themselves.
3Reliability
If continuous authentication monitoring is performed, then security against unauthorized access is improved, but loss of time increases
Solution Approach 1:
The device performs preliminary authentication checks continuously in the background using passive sensors (camera, microphone, electrodes) that monitor user presence, gestures, and biometric signals without requiring active user participation. This preliminary monitoring prepares the authentication state in advance, so when actual access is needed, verification can occur rapidly with minimal user action and time loss.
Solution Approach 2:
The authentication system operates continuously rather than intermittently, with sensors constantly monitoring for authentication cues. The processing unit continuously analyzes incoming data streams from multiple sensors, maintaining an ongoing authentication assessment that can immediately confirm or deny access rights without requiring periodic re-authentication, thus reducing overall time loss while maintaining security.
Data Source
AI summary
User biometric information based authentication techniques are provided for a wearer of a near-eye display device in engagement with multimedia content and/or access to restricted data. Biological and/or behavioral biometric information associated with the user may be captured through sensors and similar devices integrated or communicatively coupled to the near-eye display device. The biological biometric information may include data associated with a user's face, fingerprint, palmprint, iris, retina, cardio-electrical signals, etc. The behavioral biometric information may include data associated with a user's movement, gait, gesture(s), voice, etc. An authentication technique may be automatically select one based on environmental conditions (e.g., noise or light levels). Near-eye display device may detect continuous wearing by the user and refresh or continue authentication following a period of non-use or between two different authenticated sessions.