Sensory Substitution of Vision: A Systematic Mapping and a Deep Learning Object Detection Proposition

被引：2

作者：

Lima, Elze P. N. ^{[1
]}

Costa, Ronaldo M. ^{[1
]}

Fernandes, Deborah S. A. ^{[1
]}

Soares, Fabrizzio A. A. M. N. ^{[2
]}

机构：

[1] Univ Fed Goias, Inst Informat, Goiania, Go, Brazil

[2] Southern Oregon Univ, Dept Comp Sci, Ashland, OR USA

来源：

2019 IEEE 31ST INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE (ICTAI 2019) | 2019年

关键词：

Vision Substitution; Computer Vision; Assistive Technologies; Visual Impairment; Object Detection; Deep Learning; Tensor Flow Lite; Mobile; IMPAIRMENT; BLINDNESS; DISTANCE;

D O I：

10.1109/ICTAI.2019.00274

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Since 1946 methods for sensory substitution of vision has been studied; however, half a century after the beginning of this line of research, this keep been a massive problem in a world with about 50.6 million people with irreversible blindness. This research presents how self-help devices for visually impaired are approach in recent years and proposes a new approach based on object recognition with deep learning. Through it, it is possible to perceive the trends in this line of research, how devices obtain information from the environment, how they interact with users, and other aspects - pointing essential factors to all those who research or wish to study this area.

引用

页码：1815 / 1819

页数：5

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