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

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 visua...

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Main Authors: Pinheiro Lima Neto, Elze, Martins da Costa, Ronaldo, Silva Alves Fernandes, Deborah, Alphonsus Alves de Melo Nunes Soares, Fabrizzio
Format: Conference Proceeding
Language:English
Subjects:
Assistive Technologies
Computer Vision
Deep Learning
Mobile
Object Detection
Tensor Flow Lite
Vision Substitution
Visual Impairment
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creator Pinheiro Lima Neto, Elze
Martins da Costa, Ronaldo
Silva Alves Fernandes, Deborah
Alphonsus Alves de Melo Nunes Soares, Fabrizzio
description 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.
doi_str_mv 10.1109/ICTAI.2019.00274
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subjects Assistive Technologies
Computer Vision
Deep Learning
Mobile
Object Detection
Tensor Flow Lite
Vision Substitution
Visual Impairment
title Sensory Substitution of Vision: A Systematic Mapping and a Deep Learning Object Detection Proposition
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