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Standalone cooperation-free OKN-based low vision contrast sensitivity estimation in VR - a pilot study
Sophia Anais Tatiyosyan1, Katharina Rifai1,2, Siegfried Wahl1,2
1Institute for Ophthalmic Research, University of Tuebingen, Tuebingen, Germany.
Restorative Neurology and Neuroscience
|March 23, 2020
Summary
A new virtual reality tool automatically assesses contrast sensitivity in 3.5 minutes using eye-tracking and optokinetic nystagmus (OKN). This innovative approach aids low vision patients who struggle with verbal feedback, offering a reliable screening method.
Area of Science:
- Ophthalmology
- Virtual Reality Technology
- Medical Diagnostics
Background:
- Contrast sensitivity assessment is crucial for low vision patients.
- Traditional tests require verbal feedback and examiner expertise.
- Limitations exist in current contrast sensitivity testing methods.
Purpose of the Study:
- To develop a fast, automated contrast sensitivity estimation tool.
- To utilize optokinetic nystagmus (OKN) for objective visual assessment.
- To create a virtual diagnosis tool for low vision patients.
Main Methods:
- Implemented a virtual rotating drum in a VR headset with eye-tracking.
- Developed an algorithm to detect OKN occurrence for contrast sensitivity estimation.
- Evaluated the tool in healthy and simulated low vision conditions.
Main Results:
- The OKN detection algorithm achieved 88% accuracy.
- The tool successfully replicated known contrast sensitivity differences.
- Decreased contrast sensitivity at lower spatial frequencies was observed.
Conclusions:
- The OKN-based test is a reliable proof of concept for VR-based visual screening.
- This technology is suitable for patients with communication difficulties.
- The tool can be used in settings lacking experienced examiners.
