Developer uses VR voxel city model to train vision for lazy eye
A developer in Japan explored a voxel-based city model of Warsaw in VR and noticed how strongly their amblyopia (lazy eye) distorted their spatial perception. Building on this, they created a Unity prototype that adjusts stereo camera separation and scales each eye's resolution independently to help the brain relearn binocular fusion. Reported tests showed about a 23% higher visual evoked potential amplitude than a 2D training app in a 12-person benchmark. They also added eye-tracking-based focus enhancement, and after two weeks of 15-minute daily sessions their Randot stereo score improved from 40 to 20 arcseconds. The code is publicly available on GitHub.
This is an AI-generated summary. ShortSingh links to the original source for the complete article.
Discussion (0)
Log in to join the discussion and vote.
Log in