Eye Tracking Cornea Radius Estimation and Update
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Solution Overview
Problem
Eye tracking systems experience performance degradation over time due to changes in the cornea radius of the eye, requiring recalibration, which can be inconvenient and unnoticed by users, affecting efficiency and performance.
Innovation Solution
The method involves estimating and updating the cornea radius independently without requiring users to look at stimulus points, allowing eye tracking to continue using the updated cornea radius value alongside original values for other parameters, such as the fovea offset, to maintain performance without full recalibration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If full recalibration is performed to restore eye tracking performance, then measurement precision is improved, but loss of time and ease of operation deteriorate due to user interruption and calibration procedure complexity
Solution Approach 1:
The patent segments the recalibration process into two distinct parts: (1) updating only the cornea radius parameter, and (2) maintaining other calibration parameters unchanged. This selective update approach allows the system to restore eye tracking performance by adjusting only the specific parameter that degrades over time, rather than requiring a complete recalibration procedure that would consume more user time and attention.
Solution Approach 2:
The patent applies partial action by performing only the necessary subset of recalibration operations. Instead of executing a full recalibration that updates all calibration parameters, the system performs only the minimal action required (updating cornea radius) to restore performance, thereby reducing the time and user effort required while still achieving the desired measurement precision improvement.
2Measurement precision
If full recalibration is performed to restore eye tracking performance, then measurement precision is improved, but ease of operation deteriorates due to user interruption and loss of focus
Solution Approach 1:
The patent segments the recalibration process into two distinct parts: (1) updating only the cornea radius parameter, and (2) maintaining other calibration parameters unchanged. This selective update approach allows the system to restore eye tracking performance by adjusting only the specific parameter that degrades over time, rather than requiring a complete recalibration procedure that would consume more user time and attention.
Solution Approach 2:
The patent enables the eye tracking system to perform self-adjustment by automatically detecting changes in cornea radius and updating this parameter without requiring user intervention. The system monitors its own performance degradation and autonomously initiates the partial recalibration process, eliminating the need for users to interrupt their activities or consciously initiate recalibration, thereby maintaining ease of operation.
3Measurement precision
If cornea radius is updated frequently to maintain performance, then measurement precision is improved, but use of energy and productivity deteriorate due to continuous processing
Solution Approach 1:
The patent implements periodic action by updating the cornea radius parameter at specific intervals or when performance degradation is detected, rather than continuously. The system monitors changes in cornea radius and performs updates only when necessary, based on predetermined criteria such as time thresholds or performance metrics. This periodic update strategy maintains measurement precision while avoiding unnecessary processing that would consume excessive energy and reduce productivity.
Data Source
AI summary
The present disclosure relates to an eye tracking method as well as a corresponding system and computer-readable storage medium. Calibration is performed. The calibration comprises estimating values for a plurality of parameters defining respective optical properties of an eye. The plurality of parameters includes a radius of a cornea of the eye. Eye tracking for the eye is performed using the values estimated at the calibration. An updated value of the cornea radius is estimated. Eye tracking for the eye is performed using the updated value of the cornea radius and a value estimated at the calibration for a parameter other than the cornea radius of the eye. The cornea radius of an eye may change over time. This may cause degradation of eye tracking performance. This problem may be reduced or prevented by estimating an updated value of the cornea radius.