Gaze Tracking Error Correction via Zone-Specific Calibration
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Solution Overview
Problem
Conventional gaze tracking systems assume uniform error behavior across a user's field of view, limiting their accuracy and compatibility with different gaze tracking devices and display sizes, and struggle with noise reduction due to varying precision and noise levels.
Innovation Solution
A calibration method that partitions the display area into error-correction and noise-correction zones, with each zone having its own correction parameters and smoothing functions based on observed errors and noise, allowing for localized error correction and noise reduction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a uniform correction function is applied across the entire display area, then the device complexity is reduced and ease of operation is improved, but the measurement precision and manufacturing precision deteriorate due to varying error characteristics in different regions
Solution Approach 1:
The display area is divided into multiple zones (e.g., center zone, peripheral zones) with each zone having its own correction function. This segmentation allows the system to account for spatially varying error characteristics without requiring a single complex global model, thereby improving measurement precision while keeping individual zone corrections relatively simple.
Solution Approach 2:
Different correction functions are applied to different zones of the display area based on their specific error characteristics. The calibration system determines zone-specific correction parameters (e.g., offset values, scaling factors) that are tailored to the local error behavior in each region, improving overall accuracy by addressing local rather than uniform errors.
2Adaptability or versatility
If zone-specific correction functions are implemented, then the measurement precision and adaptability are improved, but the device complexity and difficulty of detecting and measuring increase
Solution Approach 1:
The calibration process is performed in advance to determine zone-specific correction functions for each user-device configuration. By pre-computing and storing these correction parameters during a calibration phase, the system eliminates the need for real-time complex calculations during actual gaze tracking, thereby improving adaptability while reducing the computational burden during operation.
Solution Approach 2:
The calibration system adjusts correction parameters (such as offset values, scaling factors, and curvature coefficients) based on measured error characteristics for each zone. By varying these parameters according to the specific user and device configuration, the system achieves high adaptability across different devices and users while managing measurement complexity through parameter optimization.
3Measurement precision
If uniform noise reduction is applied across the display area, then the ease of operation is maintained, but the measurement precision deteriorates due to varying noise levels in different regions
Solution Approach 1:
The display area is divided into zones with different noise characteristics, and each zone is processed with appropriate smoothing parameters. High-noise peripheral zones may receive stronger smoothing, while low-noise central zones maintain higher temporal resolution, thereby improving overall measurement precision without uniformly increasing system complexity.
Solution Approach 2:
Different smoothing algorithms or parameters are applied to different zones based on their noise characteristics. For example, temporal filtering strength, spatial averaging radius, or outlier rejection thresholds are adjusted locally to match the noise level in each region, improving gaze location precision while adapting the complexity only where necessary.
Data Source
AI summary
In a gaze-tracking system, localized error correction may be applied. The display area may be partitioned into error-correction zones, and each zone may have its own error correcting parameters or function. Calibration points may be defined for each of these zones, and the correction parameters or function within each zone may be dependent upon the observed errors as the user views each calibration point associated with the zone. In like manner, the function applied to smooth the determined gaze point to reduce noise may also be localized by basing its characteristics on the noise exhibited at each calibration point associated with defined noise-calibration zones. The error correcting function and/or the noise smoothing function may be selected based on the requirements of the particular application that receives the corrected and smoothed gaze location.