Facial Gesture Authentication for Selective Device Access
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Solution Overview
Problem
Modern portable electronic devices face challenges in securely authenticating users while providing easy access to various features and data, particularly in protecting private information without complicating the user interface.
Innovation Solution
The combination of facial recognition and facial gesture, or 'mien,' detection is employed to authenticate users and grant selective operational access to electronic devices, allowing for varying levels of access based on recognized facial features and intentional gestures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If facial recognition alone is used for authentication, then user access is simple and quick, but security is insufficient and false authentication instances occur
Solution Approach 1:
The patent combines facial recognition technology with gesture recognition technology into a unified authentication system. The processor integrates both authentication methods by capturing images, analyzing facial features, detecting gestures, and requiring both facial match and gesture match for successful authentication. This merging approach enhances security without significantly increasing user-facing complexity.
Solution Approach 2:
The authentication process is segmented into distinct phases: facial feature extraction and matching, gesture detection and matching, and final authentication decision. This segmentation allows each component to be optimized independently while maintaining overall system efficiency and reducing false authentication instances.
2Reliability
If multiple authentication factors are required, then security is enhanced, but user interface becomes complicated and access time increases
Solution Approach 1:
The system automatically captures multiple images, performs facial recognition, detects gestures, and makes authentication decisions without requiring user intervention beyond providing the biometric data. This self-service approach maintains ease of operation while implementing multi-factor authentication.
Solution Approach 2:
The system captures and processes multiple images in advance, performing facial feature extraction and gesture detection before the final authentication decision. This preliminary action allows the system to have authentication data ready, reducing access time while maintaining security.
3Ease of operation
If facial recognition is used with obscured faces, then access may be denied, but security may be compromised if alternative methods are used
Solution Approach 1:
The system requires only partial facial features and gesture recognition for successful authentication. When faces are obscured, the system can still authenticate users by detecting recognizable facial features combined with gesture patterns, maintaining both access availability and authentication accuracy.
Data Source
AI summary
A method in an electronic device includes comparing, with one or more processors, at least one image with one or more predefined reference images and determining whether the at least one image comprises a depiction of a mien expressed by the object. When the object is authenticated as the authorized user of the electronic device and the at least one image fails to comprise the depiction of the mien expressed by the object, the one or more processors grant limited operational access to features, applications, or data of the electronic device. When the object is authenticated as the authorized user of the electronic device and the at least one image comprises the depiction of the mien expressed by the object, the one or more processors can grant full operational access to the features, the applications, or the data of the electronic device.