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Updated: Dec 6, 2025
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Efficiently Recording the Eye-Hand Coordination to Incoordination Spectrum
Published on: March 21, 2019
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The use of handheld marker to calibrate a field-programmable gate array based eye tracker for artificial vision
Summary
This study introduces a novel calibration method for eye trackers in artificial vision systems, enabling blind patients to control their visual field with eye movements. This enhances precision and reduces head movements for improved usability.
Area of Science:
- Biomedical Engineering
- Neuroscience
- Ophthalmology
Background:
- Artificial vision systems require precise control of the visual field, often achieved through head movements.
- Existing eye-tracking calibration methods are unsuitable for blind individuals.
Purpose of the Study:
- To develop and validate a new eye-tracking calibration method for blind patients using artificial vision.
- To improve the usability of visual prostheses by enabling eye-based gaze control.
Main Methods:
- A novel calibration technique was developed using pupil position and reported percept location via a handheld marker.
- Pupil positions were extracted using custom image processing on a glasses-mounted eye tracker.
- Linear regression was employed to determine the transfer function from pupil position to scene camera coordinates.
Main Results:
- The proposed calibration method successfully enabled eye-tracking control for blind patients.
- Patients demonstrated enhanced precision in localization tasks.
- A significant reduction in compensatory head movements was observed.
Conclusions:
- The developed eye-tracking calibration method is feasible and effective for blind users of artificial vision systems.
- This innovation improves the precision and reduces head movements, enhancing the overall user experience.
