In-App Eye-Tracking Calibration With Dynamic Error Correction
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Solution Overview
Problem
Current techniques fail to address dynamic errors and inaccuracies in eye-focus calibration for displays, necessitating improved methods to recalibrate when calibration errors occur.
Innovation Solution
A method involving a display calibration adjuster that receives eye focus data, displays a calibration indicator, accepts user feedback for error correction, and adjusts display calibration based on this feedback to improve alignment with actual eye focus.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional eye-focus calibration is performed, then initial calibration is achieved, but dynamic calibration errors cannot be corrected
Solution Approach 1:
The patent implements dynamic recalibration by allowing the calibration process to be repeated and updated during application execution. The calibration parameters are no longer static but can be dynamically adjusted based on real-time user feedback, transforming the calibration system from a fixed initial setup to an adaptable ongoing process that maintains accuracy over time.
Solution Approach 2:
The patent introduces feedback mechanisms where user responses to calibration indicators are captured and used to adjust calibration parameters. This closed-loop feedback system allows the system to detect calibration errors and correct them by incorporating user feedback, thereby improving measurement precision while maintaining adaptability.
2Ease of manufacture
If calibration is performed outside application context, then calibration setup is completed, but calibration errors during application execution cannot be addressed
Solution Approach 1:
The patent performs preliminary calibration setup before application execution while maintaining the capability for subsequent recalibration. The initial calibration provides a starting point, but the system is designed to allow further calibration adjustments during application execution, ensuring both ease of setup and ongoing reliability.
Solution Approach 2:
The patent ensures continuous calibration validity by allowing recalibration during application execution. Instead of performing calibration as a one-time preliminary action, the system maintains calibration accuracy through continuous adjustment capabilities, ensuring the calibration remains valid throughout the application's operation.
3Measurement precision
If rapid recalibration is implemented, then dynamic calibration errors are corrected quickly, but calibration process time increases
Solution Approach 1:
The patent implements partial recalibration by focusing only on the specific calibration parameters that have drifted or become inaccurate, rather than performing a complete recalibration of all parameters. This selective approach corrects calibration errors efficiently while minimizing the time required, as only the necessary adjustments are made based on detected errors and user feedback.
Data Source
AI summary
This disclosure provides systems, devices, apparatus, and methods, including computer programs encoded on storage media, for calibrating eye-tracking within an application. A display processor may execute an application that displays a first scene to a display. While the application is executed, the display processor may (a) receive a set of eye focus data associated with an eye focus of a user, (b) display a calibration indicator to the display, (c) receive a calibration feedback from the user comprising an error correction indicator based on the displayed calibration indicator, (d) adjust a calibration of the display relative to the set of eye focus data based on the error correction indicator, and (e) display a second scene to the display based on the adjusted calibration of the display and the set of eye focus data.