失明
计算机科学
视力
人机交互
人工视觉
面子(社会学概念)
视力障碍
仿生学
视觉假肢
人工智能
计算机视觉
心理学
验光服务
医学
神经科学
视网膜
社会科学
物理
天文
社会学
作者
Michael Beyeler,Melani Sanchez-Garcia
出处
期刊:Journal of Neural Engineering
[IOP Publishing]
日期:2022-12-01
卷期号:19 (6): 063001-063001
被引量:11
标识
DOI:10.1088/1741-2552/aca69d
摘要
Objective.How can we return a functional form of sight to people who are living with incurable blindness? Despite recent advances in the development of visual neuroprostheses, the quality of current prosthetic vision is still rudimentary and does not differ much across different device technologies.Approach.Rather than aiming to represent the visual scene as naturally as possible, aSmart Bionic Eyecould provide visual augmentations through the means of artificial intelligence-based scene understanding, tailored to specific real-world tasks that are known to affect the quality of life of people who are blind, such as face recognition, outdoor navigation, and self-care.Main results.Complementary to existing research aiming to restore natural vision, we propose a patient-centered approach to incorporate deep learning-based visual augmentations into the next generation of devices.Significance.The ability of a visual prosthesis to support everyday tasks might make the difference between abandoned technology and a widely adopted next-generation neuroprosthetic device.
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