Virtual reality based screening tool for assessing and demonstrating ocular conditions
OwnerKaitlyn Elyssa Bajek, Tammy Tullyinventors
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Abstract
A VR-based screening tool for assessing and demonstrating ocular conditions is disclosed. The present invention improves on existing screening and diagnostic practices by offering an engaging, immersive VR experience that is visually appealing and easy to understand for both children and the elderly. By simplifying the assessment process and providing clear visual demonstrations, it encourages active participation and enhances the accuracy and effectiveness of ocular evaluations.
Claims10
A virtual-reality-based screening system for assessing and demonstrating ocular conditions, the system comprising a user wearing a virtual reality headset and having first and second controllers, the headset displaying a diagnostic module to the user,
- wherein the user first logs in and is authenticated by the system,
- and wherein the user next selects a diagnostic module which prompts the system to load relevant graphics and instructions for further interaction;
- wherein the user engages with the selected environment by using the first and second controllers to identify visual stimuli, with the system recording the responses for real-time feedback.
A method for assessing and demonstrating color deficiency of a patient by using a virtual-reality-based screening system, the method comprising:
- presenting a series of color plates having various symbols at their center, including a circle, a square, a triangle and a star displayed on the sides of the screen;
- enabling symbol selection via a virtual reality controller;
- implementing a 20-second timer for each plate with the remaining time not being visually displayed, but may be accompanied by an audio countdown during the last five seconds, after which the game will automatically switch to the next color plate;
- wherein the controller will vibrate upon selection to provide feedback wherein the game simulates a viewing distance of 75 cm.
Dependencies are inferred from the claim text.