SYSTEMS AND METHODS FOR VISION TRAINING USING FEEDBACK-ADJUSTED VISUAL CHALLENGES

Abstract

A user's visual health can be evaluated via a virtual reality (VR) system, which can include a VR headset in electronic communication with a computing device. The computing device causes virtual environments, which can include objects and optotypes, to be displayed on the VR headset. Using varying combinations of eye-tracking sensors, eye-tracking cameras, motion-tracking sensors, handheld devices, and microphones, the VR headset collects data about the user as she focuses on various objects displayed in different positions in the virtual environments. Optionally, advanced algorithms in the computing device can dynamically alter the positions of the objects and optotypes or otherwise change a visual task presented in the virtual environment to optimize vision training for the user. Optionally, the advanced algorithms alter and change the environment and the task based on the user's performance.

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