Covert Eye Tracking Calibration via Game Objects
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Solution Overview
Problem
Existing eye tracking calibration methods require explicit user involvement, are time-consuming, and necessitate recalibration due to environmental changes, disrupting user activity.
Innovation Solution
A system and method for covertly calibrating eye tracking using game objects or commercial content that adjusts calibration parameters based on user eye movement patterns, allowing continuous calibration without user awareness and maintaining accuracy in dynamic environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If explicit calibration points are displayed and user fixates on them, then calibration accuracy is improved, but user involvement becomes cumbersome and time-consuming
Solution Approach 1:
The system performs calibration automatically by analyzing user eye movements during normal interaction with game objects or commercial content, without requiring explicit user participation in calibration procedures. The calibration process serves itself by utilizing naturally occurring eye movement data during regular system operation.
Solution Approach 2:
The same eye tracking system serves dual purposes: it performs both calibration functions and normal gaze tracking functions simultaneously. The system uses eye movement data for both calibrating the eye tracker and for the actual application purposes, eliminating the need for separate calibration sessions.
2Measurement precision
If calibration is performed using traditional methods, then initial calibration accuracy is improved, but recalibration is required when environmental conditions change
Solution Approach 1:
The system performs continuous calibration in the background during normal operation, constantly updating calibration parameters based on ongoing eye movement data. This continuous calibration process ensures the system remains accurate without interruption, adapting automatically to environmental changes as they occur.
Solution Approach 2:
The system continuously monitors eye movement data and uses this feedback to automatically adjust and update calibration parameters. The feedback loop allows the system to detect drift or changes in calibration accuracy and perform corrective recalibration without user awareness or intervention.
3Measurement precision
If manual recalibration is performed when calibration is lost, then calibration accuracy is restored, but user activity must be stopped
Solution Approach 1:
The system automatically detects when recalibration is needed and performs it without requiring user intervention. The eye tracking system serves itself by monitoring its own calibration status and executing recalibration procedures in the background, maintaining uninterrupted user activity.
Solution Approach 2:
The system performs calibration updates proactively before significant drift occurs or before user activity is disrupted. By continuously monitoring eye movement patterns, the system can detect early signs of calibration degradation and perform corrective action in advance.
Data Source
AI summary
Methods and systems to facilitate eye tracking control calibration are provided. One or more objects are displayed on a display of a device, where the one or more objects are associated with a function unrelated to a calculation of one or more calibration parameters. The one or more calibration parameters relate to a calibration of a calculation of gaze information of a user of the device, where the gaze information indicates where the user is looking. While the one or more objects are displayed, eye movement information associated with the user is determined, which indicates eye movement of one or more eye features associated with at least one eye of the user. The eye movement information is associated with a first object location of the one or more objects. The one or more calibration parameters are calculated based on the first object location being associated with the eye movement information.