Facial and Gesture Authentication for Secure Data Sharing
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Solution Overview
Problem
Current authentication methods, such as biometry and gesture-based systems, face challenges in providing secure and shareable access rights, with biometrics being non-shareable and gesture-based systems offering weak protection.
Innovation Solution
A method that combines facial and gesture recognition using image data from various cameras (LIDAR, TOF, RGB, thermal, and video) to derive features, allowing for different access levels based on matching predetermined facial and gesture features, enabling secure and shareable access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If biometric authentication is used, then security is improved, but shareability of access rights deteriorates
Solution Approach 1:
The authentication system is segmented into two independent components: biometric verification (facial recognition) and gesture verification. Each component can be independently configured with different access rights, allowing the biometric aspect to maintain security while the gesture aspect enables shareability. Users can share gesture patterns without sharing biometric data.
Solution Approach 2:
The patent merges biometric authentication with gesture-based authentication into a unified system. The combination allows the security properties of biometrics to be preserved while adding the shareability properties of gestures, as gestures can be communicated and replicated by authorized users.
2Adaptability or versatility
If gesture-based authentication is used, then shareability of access rights is improved, but security deteriorates
Solution Approach 1:
The system combines gesture-based authentication with biometric verification, where gestures provide the shareable access mechanism while biometrics provide the security layer. The multi-factor authentication ensures that sharing gestures alone is insufficient for access, maintaining security while enabling shareability.
3Reliability
If password-based authentication is used, then security is improved, but ease of operation deteriorates
Solution Approach 1:
The patent replaces the mechanical/memory-based password system with a gesture-based system that leverages visual and kinesthetic learning. Gestures can be demonstrated and learned more easily than memorizing complex passwords, improving ease of operation while maintaining security through multi-factor authentication.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach provides a secure and user-friendly authentication method that grants different access rights to data, making it easier to share data among multiple users while maintaining strong security, as gestures are remembered more easily than passwords.
Implementation Method 1
The image data can be recorded using a lidar system
Implementation Method 2
a comparison of temperature values of the image data from the thermal camera with the usual human body temperature
Data Source
AI summary
The present disclosure relates to a method for authenticating a user. The method comprises recording image data of the user and deriving at least one first facial feature of the user's face and at least one first gesture feature of one or more gestures of the user from the image data. The method further provides for determining a degree of access of the user to data depending on whether the first gesture feature corresponds to at least one predetermined second gesture feature and whether the first facial feature corresponds to at least one predetermined second facial feature.