Gaze Detection Calibration via Automatic Target Sequencing
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Solution Overview
Problem
Existing gaze detection systems face accuracy issues due to manual calibration errors, which can lead to decreased concentration and lower detection accuracy in subjects, requiring repeated manual inputs and potentially scattering attention.
Innovation Solution
A gaze detection apparatus and method that automatically performs calibration by displaying target images at multiple positions on a screen, determining if the calculated point of regard is within predefined areas, and repeating the process until a threshold of valid target images is met, thereby maintaining subject concentration and improving accuracy without manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual calibration operation is performed, then calibration data can be obtained, but subject concentration may scatter and detection accuracy lowers
Solution Approach 1:
The system automatically performs calibration operations without requiring manual subject input. The calibration execution unit autonomously displays target images at different positions and processes the subject's gaze data to generate calibration data, eliminating the need for the subject to manually follow calibration procedures and thereby maintaining subject concentration.
2Measurement precision
If calibration operation is repeated manually, then accuracy can be improved, but time loss increases and concentration scattering occurs
Solution Approach 1:
The system performs calibration operations continuously and automatically without interruption. The calibration execution unit seamlessly displays multiple target images and processes gaze data in sequence, eliminating the need for repeated manual calibration attempts and reducing total calibration time while maintaining accuracy.
Solution Approach 2:
The system automatically evaluates the validity of calibration data and determines whether recalibration is necessary. The calibration data generation unit analyzes the processed gaze data to assess calibration quality, providing feedback that eliminates the need for subjective manual judgment and reduces unnecessary repeated calibrations.
3Ease of operation
If automated calibration is implemented, then operation ease improves, but system complexity increases
Solution Approach 1:
The gaze detection apparatus integrates multiple functions into a single system. The display unit displays both calibration target images and actual content, while the calibration execution unit handles both calibration operations and normal gaze detection, reducing the need for separate dedicated calibration equipment and simplifying the overall system structure.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system efficiently maintains subject concentration and enhances detection accuracy by automating the calibration process, reducing the likelihood of attention scattering and ensuring consistent, natural measurement results.
Implementation Method 1
a light source configured to apply detection light to at least one of eyeballs of a subject
Data Source
AI summary
A gaze detection apparatus performs a calibration operation including displaying a target image in multiple positions on a display screen sequentially, setting, in the display screen, corresponding areas corresponding to the target images displayed on the display screen sequentially, and calculating positional data of points of regard in display periods in which the respective target images are displayed; and determines, with respect to each of the target images, whether the positional data of the point of regard that is calculated in the calibration operation is present within the corresponding area.


