Head Imaging Biometric Authentication for Access Control
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Solution Overview
Problem
Current authentication methods for electronic devices, relying on passwords and biometrics, are inconvenient, insecure, and difficult to manage, especially when multiple passwords are required, and there is a need for a more robust and user-friendly solution that combines multiple authentication factors.
Innovation Solution
An access control system and method that uses a combination of head imaging and biometric authentication, including head-limb gesture recognition, ocular recognition, and secret knowledge-based authentication factors, to securely authenticate users by capturing and analyzing imaging data from a user's head and gestures, and comparing it with stored credential records to authorize access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If passwords are used for authentication, then access control is provided, but users must remember and enter multiple passwords which is time-consuming and inconvenient
Solution Approach 1:
The patent replaces the mechanical action of typing passwords with optical/biometric recognition systems. Head imaging sensors capture facial features, head-limb gestures, and ocular patterns automatically, substituting the manual password entry process with automated biometric verification that requires no user input beyond presenting their biological characteristics.
Solution Approach 2:
The authentication system performs self-service by automatically capturing and verifying user biometric data without requiring manual intervention. The sensors continuously monitor head position, gestures, and ocular movements, and the system autonomously compares these against stored credential records, eliminating the need for users to actively participate in the authentication process.
2Reliability
If multiple passwords are required for enhanced security, then security control is improved, but password management becomes unmanageable and inconvenient
Solution Approach 1:
The patent merges multiple authentication factors into a unified biometric verification process. Instead of requiring separate passwords for different security levels, the system combines head imaging, head-limb gesture recognition, and ocular recognition into a single integrated authentication mechanism that provides multi-factor security without requiring users to manage multiple credentials.
Solution Approach 2:
The authentication system achieves multi-functionality by using a single biometric verification process that can provide different levels of security access. The same head imaging and gesture recognition system can authenticate users for basic device access, application access, or sensitive operations, eliminating the need for separate password systems for different security zones.
3Ease of operation
If passwords are shared or informally used, then access is granted, but system security is compromised and auditing becomes difficult
Solution Approach 1:
The patent replaces the vulnerable mechanical system of shared passwords with immutable biometric verification. Since biometric characteristics such as facial features, head gestures, and ocular patterns cannot be easily shared or transferred between users, the system maintains strict security while still providing convenient access to authorized users. Each user's unique biological traits serve as an unshareable credential.
4Reliability
If traditional biometric authentication is used, then security is improved, but the system lacks flexibility and user-friendliness
Solution Approach 1:
The authentication system is dynamic and adaptive, allowing users to authenticate through various biometric modalities depending on the situation. The system can adjust the required authentication factors based on context, such as accepting simpler head imaging for routine access while requiring combined head-limb gestures and ocular recognition for sensitive operations, providing both security and flexibility.
Solution Approach 2:
The system changes authentication parameters dynamically based on user needs and security requirements. It can modify the complexity of required gestures, the number of authentication factors, or the strictness of verification thresholds, allowing the same biometric system to adapt to different security scenarios and user preferences, thereby achieving both high security and user-friendliness.
Data Source
AI summary
An authentication process is activated by a processor receiving an access request for user access to a user device. One or more biometric sensor module captures imaging data or other sensor data within a field of view encompassing the head of the user, or encompassing a head region including the head of the user. The processor carries out biometric recognition methods on the captured imaging data. Biometric recognition methods may include head-limb gesture recognition (including hand-to-face, and limb-near-head, gestures); head recognition; ocular recognition; facial recognition; and combinations of these methods. Upon successful match of captured sensor data with one or more user credential records stored for an authorized user of the user device, the processor authorizes the access request, providing access to the operating environment of the user device on start-up, or to one or more of a system setting, an application program, a data, and a hardware resource.