AR User Authentication Interface Using Gaze and Gesture Input
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for interacting with augmented and virtual reality environments are cumbersome, inefficient, and place a significant cognitive burden on users, often requiring multiple inputs and providing insufficient feedback, leading to energy waste and potential security vulnerabilities.
Innovation Solution
Implementing computer systems with enhanced user interfaces that utilize gaze and gesture detection, along with biometric authentication, to reduce the number and complexity of user inputs, provide intuitive feedback, and enhance security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional user interfaces are used in augmented reality environments, then basic interaction functionality is provided, but the interfaces become cumbersome and place significant cognitive burden on users
Solution Approach 1:
The patent replaces traditional mechanical input devices (controllers, joysticks, touch screens) with direct gaze-based selection and hand tracking. Users select virtual objects simply by looking at them, and hand gestures replace complex button presses. This substitution dramatically simplifies the interaction model while maintaining full functionality.
Solution Approach 2:
The system automatically tracks user gaze and hand movements, and autonomously determines user intent without requiring explicit commands. The interface adapts to user behavior patterns, providing contextual feedback and anticipating next actions. This self-adjusting behavior reduces cognitive load while preserving interaction precision.
2Productivity
If multiple input steps are required to achieve desired outcomes, then precise control is possible, but interaction time increases and energy is wasted
Solution Approach 1:
The system continuously pre-processes user gaze data and hand tracking information in the background, so that when a selection is made, the system is already prepared to execute the action immediately. Virtual objects are pre-highlighted and pre-positioned based on predicted user interest, eliminating delays between selection and action execution.
Solution Approach 2:
The patent maintains continuous tracking of user gaze and hand movements without interruption, allowing seamless transitions between different interaction states. The system never returns to an idle state, continuously processing input data and providing feedback, which eliminates dead time and maintains constant interaction flow.
3Reliability
If conventional authentication methods are used, then security can be implemented, but the enrollment process is complex and time-consuming
Solution Approach 1:
The patent replaces traditional biometric scanning hardware with eye tracking and hand tracking cameras already present in the augmented reality system.iris patterns and other biometric features are captured through the same optical sensors used for display, eliminating the need for separate authentication hardware and simplifying the enrollment process.
4Measurement precision
If sufficient feedback is provided for user actions, then interaction accuracy improves, but system complexity and processing requirements increase
Solution Approach 1:
The system provides differentiated feedback based on interaction context: visual feedback through virtual object highlighting and selection indicators, haptic feedback through controller vibration patterns, and auditory feedback through spatial audio cues. Each feedback modality is optimized for specific interaction types, providing precise information without overwhelming the user with unnecessary data.
Data Source
AI summary
The present disclosure generally relates to techniques and user interfaces for user enrollment, user authentication, user representation, and transitioning a device from a first state to a second state.


