Eye Gesture Enrollment for Guest XR Gaze Tracking
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Solution Overview
Problem
Conventional gaze-based interactions in extended reality systems fail to effectively initiate eye enrollment for guest users, as their eye models are not known, making it difficult for them to use gaze-based user interfaces.
Innovation Solution
Implement gesture-based methods for partial or full eye enrollment, allowing guest users to initiate enrollment through eye gestures such as rolling their eyes in a circle or moving them randomly, which triggers enrollment based on collected gaze data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional gaze-based UI gestures are used for eye enrollment, then gaze-based interactions can be implemented, but guest users cannot initiate enrollment because their eye models are not known and gaze-based interactions do not work well for them
Solution Approach 1:
The system performs preliminary actions by collecting gaze data in the background before enrollment is needed. The gaze tracking system continuously collects eye movement data even when the user is not actively trying to enroll, so that when a guest user needs to use the device, the necessary data is already available to create their eye model without requiring them to perform complex enrollment gestures first.
Solution Approach 2:
The system introduces an intermediary mechanism where the gaze tracking system serves as a mediator between the guest user and the enrollment process. Instead of requiring the guest user to directly control the enrollment through gaze gestures (which is difficult when no eye model exists), the system uses background gaze data collection as an intermediary to gather the necessary information and automatically create the eye model.
2Adaptability or versatility
If gaze tracking data is collected in the background to enable enrollment, then guest users can be accommodated, but the system complexity increases
Solution Approach 1:
The gaze tracking system is designed with multi-functionality, serving both its primary function of enabling gaze-based interactions during normal use and a secondary function of collecting background data for enrollment. This universal approach allows the same hardware and processing resources to serve multiple purposes: real-time gaze tracking for UI interaction and background data collection for creating eye models of new users.
Data Source
AI summary
Methods to trigger eye enrollment without requiring good gaze interaction are described that allow a guest user of a device to initiate partial or full eye enrollment even though their eye model is not known and thus conventional gaze-based interactions do not work well. A gaze tracking system collects gaze data in the background. At any time (or within an interval after a user puts on the device), an eye enrollment can be triggered by detecting some gaze gesture, for example rolling the eyes in a large circle, or moving the eyes randomly for a time that exceeds a threshold. Depending on the coverage of the gaze/cornea data collected in the background, a full eye enrollment or only a visual axis enrollment may be performed in response to the gesture.


