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Updated: Jan 23, 2026
06:12
Recording Horizontal Saccade Performances Accurately in Neurological Patients Using Electro-oculogram
Published on: March 13, 2018
11.1K
Numerical study on adjusting parameters to improve gaze estimation using planar approximations from electro-oculogram
Fumihiko Ishida1, Koki Wakata1
1Department of Electrical and Control Systems Engineering, National Institute of Technology, Toyama College, 13 Hongo-machi, Toyama, Japan.
Biomedical Engineering Letters
|June 7, 2019
Summary
This study presents a simple electro-oculogram (EOG) method for accurate gaze estimation. Optimized electrode placement improves accuracy while reducing hardware needs.
Area of Science:
- Biomedical Engineering
- Neuroscience
- Human-Computer Interaction
Background:
- Eye movements are crucial for communication.
- Electro-oculography (EOG) is used for gaze tracking but can be affected by drift.
- Accurate and efficient gaze estimation systems are needed for various applications.
Purpose of the Study:
- To develop a simplified EOG-based gaze estimation method.
- To improve accuracy and reduce electrode count using planar approximations.
- To mitigate drift phenomena affecting EOG signal accuracy.
Main Methods:
- Developed a gaze estimation method using planar approximations of voltage ratios from EOG signals.
- Utilized an eyeball battery model for simulations.
- Investigated effects of electrode arrangement, planar approximation coefficients, and angle thresholds.
Main Results:
- The proposed method is robust against drift phenomena.
- Optimized six-electrode arrangements achieved accuracy comparable to or better than nine-electrode systems.
- Reduced electrode count by approximately 33% with improved estimation accuracy (errors reduced by ~5°).
Conclusions:
- A simplified, drift-robust EOG gaze estimation technique was successfully developed.
- Fewer electrodes can achieve higher accuracy through optimized arrangements and planar approximations.
- This method offers a more efficient and accurate approach to gaze tracking.
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