Biomimetic Space-Variant Sampling in a Vision Prosthesis Improves the User's Skill in a Localization Task

TL;DR

This study demonstrates that a retina-like space-variant sampling pattern in a visual prosthesis enhances user accuracy, speed, and learning efficiency in a target localization task.

Contribution

It introduces a biomimetic space-variant sampling approach that improves performance and learning in a visual prosthesis system.

Findings

Space-variant sampling improves pointing accuracy.

Users find targets faster with space-variant sampling.

Training time is reduced with the biomimetic approach.

Abstract

In this experiment, we test the hypothesis of whether a 'retina-like' space variant sampling pattern can improve the efficiency of a visual prosthesis. Subjects wearing a visuo-auditory substitution system were tested for their ability to point at visual targets. The test group (space-variant sampling), performed significantly better than the control group (uniform sampling). The pointing accuracy was enhanced, as was the speed to find the target. Surprisingly, the time spanned to complete the training was also reduced, suggesting that this space-variant sampling scheme facilitates the mastering of sensorimotor contingencies.