Depth discrimination in Argus II wearers using a stereo sensor based on two head-mounted cameras

Journal

Authors

Roksana Sadeghi, Michael Barry, Paul Gibson, Avi Caspi, Arup Roy, Gislin Dagnelie

Publication Date

7/22/2019

Description

Purpose: To simplify the imagery presented to Argus II retinal implant wearers by filtering out information outside the desired depth range using the disparity map from two head-mounted cameras. We compared the functionality of distance filtered (DF) imagery with unfiltered (NF) imagery in depth discrimination tasks. Methods: The data were acquired from Argus II users in two separate experiments (T1 and T2). In T1, a person with a white shirt stood in front of the subject randomly at 1, 3 or 6 m. The subject was asked to determine at which distance the person was standing. Responses ("1", "3" or "6") and timing of the response were recorded. In T2, two identical white cups were placed randomly at distances of 53±5cm and 78±5cm on the left and right side of a black table. The subject was asked to determine which cup was closer. The response ("right" or "left") and response time were recorded. The Wilcoxon signed-rank test was used for pairwise comparisons between subjects and between conditions. Results: Four Argus II users aged 62-87 performed T1 with 120 trials. Three of the subjects performed T2 with 80 trials. There were no significant differences between subjects in either test, so data were pooled across subjects for analysis between conditions. Results illustrated that subject performance was significantly better with DF compared to NF (in T1–mean accuracy: 86% with DF and 35% with NF, p< 0.005; in T2–mean accuracy: 81% with DF and 65% with NF, p< 0.005). Significantly longer time was spent to determine the response with DF compared to NF (mean±standard deviation response times: in T1: 13.75±9.90 s and 11.78±7.64 s …

Journal

Investigative Ophthalmology & Visual Science

Volume

60

Issue

9

Pages

4975-4975

Publisher

The Association for Research in Vision and Ophthalmology

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