Computer Vision to Improve Navigation with Retinal Implants - Robotics Institute Carnegie Mellon University

Computer Vision to Improve Navigation with Retinal Implants

James Weiland, Aminat Adebiyi, Nii Tete Mante, Hojun Hojun Son, Kai Ho Edgar Cheung, and Matthew Johnson-Roberson
Conference Paper, Proceedings of 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC '18), July, 2018

Abstract

Retinal prostheses for the blind can restore the perception of light for individuals with severe blindness. The ability of retinal implant patients to recognize objects is limited due to the low resolution of current implants. Computer vision has the potential to perform object recognition and path planning, and augment overall patient performance.

BibTeX

@conference{Weiland-2018-130160,
author = {James Weiland and Aminat Adebiyi and Nii Tete Mante and Hojun Hojun Son and Kai Ho Edgar Cheung and Matthew Johnson-Roberson},
title = {Computer Vision to Improve Navigation with Retinal Implants},
booktitle = {Proceedings of 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC '18)},
year = {2018},
month = {July},
}