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Assessing Binocular Central Visual Field and Binocular Eye Movements in a Dichoptic Viewing Condition
Published on: July 21, 2020
Measuring fixation disparity with infrared eye-trackers.
Maria De Luca1, Donatella Spinelli, Pierluigi Zoccolotti
1Fondazione Santa Lucia-Scientific Institute for Research, Hospitalization and Health Care, Neuropsychology Unit, via Ardeatina 306, 00179 Rome, Italy. m.deluca@hsantalucia.it
Journal of Biomedical Optics
|March 5, 2009
Summary
This study presents a new computation method to accurately measure eye vergence angles and fixation disparity using infrared eye-tracking data from computer screen interactions. This technique ensures reliable measurements for understanding binocular vision alignment.
Area of Science:
- Ophthalmology and Vision Science
- Biomedical Engineering
- Human-Computer Interaction
Background:
- Fixation disparity, a misalignment of eye gaze, can occur in static and dynamic conditions.
- Standard optometric evaluations may not capture dynamic fixation disparity.
- Accurate measurement of vergence and fixation disparity is crucial for understanding binocular vision.
Purpose of the Study:
- To develop and validate a computational method for determining vergence angles and fixation disparity from infrared eye-tracker data.
- To assess the reliability of this method for dynamic eye movement recording during computer use.
- To introduce a dichoptic calibration procedure for precise binocular alignment control.
Main Methods:
- Utilized infrared eye-tracker data recording gaze positions on a 2D computer screen.
- Applied trigonometric triangulation to calculate vergence angles from gaze coordinates.
- Developed a fixation disparity calculation based on derived vergence angles.
- Implemented a dichoptic nonius line presentation for binocular calibration.
Main Results:
- The computational method successfully determined vergence angles and fixation disparity from eye-tracking data.
- The dichoptic calibration procedure ensured effective alignment of eyes on the target.
- Recorded data confirmed the reliability of the computation and calibration methods for vergence and fixation disparity measures.
Conclusions:
- The presented computational approach provides a reliable method for measuring vergence and fixation disparity using infrared eye-tracking.
- This technique is valuable for analyzing dynamic binocular vision during activities like computer use.
- The study highlights the utility of infrared eye-tracking for precise vision research.
