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SymbolSight: Robust Symbols for Retinal Implants

A research project optimizing visual symbol sets for patients with retinal implants. By analyzing confusion matrices over simulated letter recognition using the pulse2percept framework, SymbolSight derives symbol sets that remain distinguishable even under the severe distortions introduced by low-resolution prosthetic vision.

Voted #1 out of 16 projects in the graduate Bionic Vision course. Accepted at IEEE EMBC 2026 with Dr. Michael Beyeler.