Gesture Authentication Token Validation for XR Access Security
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Solution Overview
Problem
Existing XR environments face challenges in secure authentication due to the difficulty in using traditional input devices like keyboards and mice, and gesture-based authentication systems are vulnerable to easy copying, necessitating a method for creating complex and repeatable gesture passwords.
Innovation Solution
A method that captures and analyzes user gestures for complexity and repeatability, prompting users to adjust their gestures to meet defined complexity and repeatability criteria, using machine learning to ensure security and usability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If simple gestures are used for authentication, then ease of operation is improved, but security is worsened due to easy copying
Solution Approach 1:
The patent changes the parameters of the gesture by analyzing multiple characteristics (speed, acceleration, pressure, temporal patterns) rather than just the geometric path. This transforms a simple visual gesture into a complex multi-parameter authentication token that is difficult to copy while remaining performable by the user.
Solution Approach 2:
The system provides feedback to users during gesture creation by analyzing complexity metrics and guiding them to create more secure gestures. This feedback loop enables users to iteratively improve their gesture complexity without requiring expert knowledge of security requirements.
2Reliability
If complex gestures are used for authentication, then security is improved by preventing copying, but ease of operation is worsened due to difficulty in remembering and repeating
Solution Approach 1:
The system analyzes more gesture characteristics than strictly necessary for basic recognition (speed, acceleration, pressure, temporal patterns), creating a higher threshold for copying attempts. This excessive analysis of parameters provides security margins while the user only needs to perform the natural gesture themselves.
Solution Approach 2:
The system performs preliminary analysis of gesture complexity during the creation phase, evaluating multiple parameters before finalizing the authentication token. This preliminary validation ensures the gesture meets security thresholds before being adopted, preventing users from selecting gestures that would be too difficult to repeat.
3Measurement precision
If traditional input devices (keyboard and mouse) are used in XR environments, then authentication precision is improved, but ease of operation is worsened due to occlusion and difficulty in finding devices
Solution Approach 1:
The patent replaces the mechanical input system (keyboard and mouse) with a gesture-based authentication system that uses motion tracking and computer vision. This substitution eliminates the need for physical input devices in XR environments while maintaining authentication capabilities through alternative biometric-like gesture analysis.
Data Source
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AI summary
A method, computer system and computer program are provided for validating a secure authentication token for accessing an application. The method captures a user gesture provided by a user as an authentication token and analyses the gesture to evaluate a measure of complexity of the gesture. Responsive to a determination that the measure of complexity does not meet a minimum measure of complexity, repeating the capturing and analysing steps until the gesture meets the defined measure of complexity. Then the user is requested to repeat the approved gesture and the repeated gesture is captured, and it is determined if the repeated gesture meets defined requirements for repeatability. Responsive to a determination that the repeated gesture does not meet the requirements for repeatability, the method is repeated; and, responsive to a determination that the repeated gesture does meet the requirements for repeatability, the gesture is validated as a secure authentication token.