Head Imaging Biometric Authentication with Gesture Recognition
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Solution Overview
Problem
Conventional authentication methods, such as passwords and biometric systems, are inconvenient, insecure, and difficult to manage, especially when multiple forms of identification are required, leading to a need for a more robust and user-friendly access control system that combines biometric and gesture recognition techniques.
Innovation Solution
An access control system that uses a processor to capture and analyze imaging data from a user's head and limbs, comparing it with stored credential records to authorize access, incorporating head recognition, ocular recognition, and gesture cues to provide secure and flexible authentication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If passwords are used for authentication, then access control is established, but user convenience deteriorates due to time consumption and inconvenience
Solution Approach 1:
The patent replaces the mechanical/password-based authentication system with an optical/biometric system. Instead of requiring users to manually type passwords, the system uses a camera to capture facial images and automatically recognizes identities through image processing algorithms, eliminating the need for manual input and reducing time consumption.
Solution Approach 2:
The system enables self-service authentication by automatically capturing and recognizing user identities without requiring manual intervention. The camera automatically captures facial images when users approach, and the system automatically compares captured images with stored credential records, eliminating the need for users to manually provide authentication information.
2Reliability
If multiple authentication factors are required, then security is improved, but device complexity increases
Solution Approach 1:
The patent merges multiple authentication factors (biometric facial recognition and gesture recognition) into a single integrated system. The camera captures both facial images and gesture movements, and the processor analyzes both types of data to determine authentication success, combining what would traditionally be separate authentication systems into one unified solution.
Solution Approach 2:
The camera and processor serve multiple functions: capturing facial images for biometric authentication, detecting gesture movements for gesture-based authentication, and processing both types of data for authentication decisions. This multi-functionality reduces the need for separate dedicated sensors and processing units for each authentication method.
3Ease of operation
If biometric authentication is used, then user convenience is improved, but security deteriorates due to potential spoofing and unauthorized access
Solution Approach 1:
The patent segments the authentication process into distinct phases: facial recognition authentication and gesture recognition authentication. Both phases must be successfully completed for full authentication to occur, creating a layered security approach where failure in one phase does not compromise overall security. The system requires the user to first present their face for identification, then perform a specific gesture to authenticate.
Solution Approach 2:
The system incorporates dynamic gesture recognition that analyzes the temporal and spatial characteristics of movements. Instead of static images, the system captures and analyzes gesture movements including hand positions, arm movements, and head movements over time. This dynamic analysis makes it difficult for static spoofing attempts to succeed, as the gestures must be performed in real-time with specific motion patterns.
4Reliability
If gesture recognition is added to biometric authentication, then authentication robustness is improved, but ease of operation deteriorates due to additional requirements
Solution Approach 1:
The system performs preliminary facial recognition to identify the user before requiring gesture authentication. By first verifying the user's identity through facial recognition and storing their authorized gestures in advance, the system prepares the authentication framework so that when the user approaches, only the gesture component needs to be performed, reducing the overall complexity burden on the user.
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.