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A review on personal calibration issues for video-oculographic-based gaze tracking
Jiahui Liu1,2,3, Jiannan Chi1,2,3, Zuoyun Yang1
1School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China.
Personal calibration enhances gaze tracking accuracy by tailoring systems to individual users. This review examines current methods, highlighting limitations and future directions for more practical eye-tracking calibration.
Area of Science:
- Human-Computer Interaction
- Computer Vision
- Biomedical Engineering
Background:
- Gaze tracking systems rely on personal calibration for accurate gaze estimation and improved performance.
- Current eye-tracking products often necessitate explicit calibration, which has practical limitations.
- A gap exists between theoretical personal calibration methods and their real-world applicability.
Purpose of the Study:
- To review personal calibration issues in video-oculographic-based gaze tracking.
- To summarize personal calibration information in typical gaze tracking methods.
- To analyze and compare different personal calibration modes and their settings.
Main Methods:
- Summarization of personal calibration information in existing gaze tracking techniques.
- Analysis of main settings within current personal calibration processes.
- Quantitative comparison of 2D and 3D gaze tracking calibration methods via simulation experiments.
Main Results:
- Identified limitations in existing explicit personal calibration modes.
- Highlighted characteristics of different personal calibration settings through simulations.
- Provided a quantitative performance comparison of various calibration methods.
Conclusions:
- This is the first review focusing on personal calibration for video-oculographic gaze tracking.
- Discussed key issues in designing effective personal calibration.
- Aimed to guide future research towards natural human-computer interaction and wider eye-movement interaction adoption.
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