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2018 | OriginalPaper | Chapter

Design and Implementation of a Wearable Device for the Blind by Using Deep Learning Based Object Recognition

Authors : Bongjae Kim, Hyeontae Seo, Jeong-Dong Kim

Published in: Advances in Computer Science and Ubiquitous Computing

Publisher: Springer Singapore

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Abstract

Recently, deep learning based object recognition systems are very widely used in various fields, including surveillance systems. The accuracy of object recognition based on deep learning is better than other schemes. In this paper, we propose a wearable device for the blind by using deep learning based object recognition. Based on the implemented prototype and evaluation results, we confirmed the usefulness and effectiveness of the proposed wearable device.

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Metadata
Title
Design and Implementation of a Wearable Device for the Blind by Using Deep Learning Based Object Recognition
Authors
Bongjae Kim
Hyeontae Seo
Jeong-Dong Kim
Copyright Year
2018
Publisher
Springer Singapore
Book
Advances in Computer Science and Ubiquitous Computing

Print ISBN: 978-981-10-7604-6

Electronic ISBN: 978-981-10-7605-3

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-981-10-7605-3_161