Gaze Tracking Calibration via Offset Vector Adjustment
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Solution Overview
Problem
Gaze tracking systems require frequent recalibration due to user changes or environmental factors, disrupting user experience by necessitating explicit calibration procedures that interfere with immersion in content.
Innovation Solution
A method that uses gaze tracking data to identify target visuals within image data and calculates an offset vector to update the estimated gaze location without user input, allowing for continuous calibration during system operation without interrupting the user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If dedicated calibration procedures are performed to improve measurement precision of gaze tracking, then calibration accuracy is improved, but user immersion and ease of operation deteriorate due to interruptions
Solution Approach 1:
The system performs calibration automatically without requiring user participation. The gaze tracking system monitors user gaze behavior during content consumption and autonomously adjusts calibration parameters based on detected gaze patterns, eliminating the need for explicit calibration procedures and maintaining user immersion throughout the process
Solution Approach 2:
Calibration is performed continuously in the background during normal system operation rather than through discrete interruption-based procedures. The system continuously monitors gaze data and incrementally adjusts calibration parameters, ensuring both accurate tracking and uninterrupted user experience
2Reliability
If frequent recalibration is performed to maintain measurement precision under changing conditions, then gaze tracking reliability is improved, but user frustration and loss of time increase
Solution Approach 1:
The system performs calibration continuously during normal operation rather than through periodic interruptions. Gaze data is constantly monitored and calibration parameters are incrementally adjusted in real-time, maintaining reliability without requiring users to pause their activities for recalibration
Solution Approach 2:
The system autonomously detects when recalibration is needed based on changes in gaze patterns or environmental conditions and performs adjustment automatically without user involvement, eliminating time loss associated with explicit calibration procedures
3Measurement precision
If explicit calibration procedures are required to ensure measurement precision, then calibration accuracy is improved, but device complexity and ease of operation worsen
Solution Approach 1:
The gaze tracking system performs self-calibration by automatically analyzing user gaze behavior patterns during content consumption and adjusting calibration parameters without requiring users to follow complex calibration procedures, thereby maintaining accuracy while eliminating operational complexity
Data Source
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AI summary
Examples relating calibrating an estimated gaze location are disclosed. One example method comprises monitoring the estimated gaze location of a viewer (22, 62) using gaze tracking data (50) from a gaze tracking system (54). Image data (64) for display via a display device (14) is received and, without using input from the viewer (22, 62), at least one target visual that may attract a gaze of the viewer (22, 62) and a target location of the target visual are identified within the image data (64). The estimated gaze location of the viewer (22, 62) is compared with the target location of the target visual. An offset vector is calculated based on the estimated gaze location and the target location. The gaze tracking system is calibrated using the offset vector.