Paper Abstract and Keywords |
Presentation |
2019-03-08 15:20
A Study on Navigation System for Visually Impairment Person based on Egocentric Vision using Deep Learning Takuya Okita, Hiroki Kojima (OIT), Sho Ooi (Ritsumeikan Univ.), Mutsuo Sano (OIT) WIT2018-69 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
There are 310 thousand the visually impaired person in Japan. They use usually a white cane or a guide dog while walking. However, the number of guide dogs is less than the required number, and the white cane is difficult to get surrounding information. So, we are developing navigation system based on egocentric vision instead of walking support tool such as a white cane.
The aim of the research is to develop navigation system with to recognize objects and estimate distances using deep learning. Therefore, to investigate to refer to landmarks object for non-handicapped person while walking and dangerous objects for visually impaired person. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
visually impaired / navigation / egocentric vision / wearable / deep learning / YOLO / / |
Reference Info. |
IEICE Tech. Rep., vol. 118, no. 491, WIT2018-69, pp. 51-56, March 2019. |
Paper # |
WIT2018-69 |
Date of Issue |
2019-03-01 (WIT) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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WIT2018-69 |
Conference Information |
Committee |
WIT IPSJ-AAC |
Conference Date |
2019-03-08 - 2019-03-10 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Tsukuba University of Technology |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Hearing / Visually impaired person support technology, etc. |
Paper Information |
Registration To |
WIT |
Conference Code |
2019-03-WIT-AAC |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Study on Navigation System for Visually Impairment Person based on Egocentric Vision using Deep Learning |
Sub Title (in English) |
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Keyword(1) |
visually impaired |
Keyword(2) |
navigation |
Keyword(3) |
egocentric vision |
Keyword(4) |
wearable |
Keyword(5) |
deep learning |
Keyword(6) |
YOLO |
Keyword(7) |
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1st Author's Name |
Takuya Okita |
1st Author's Affiliation |
Osaka Institute of Technology (OIT) |
2nd Author's Name |
Hiroki Kojima |
2nd Author's Affiliation |
Osaka Institute of Technology (OIT) |
3rd Author's Name |
Sho Ooi |
3rd Author's Affiliation |
Ritsumeikan University (Ritsumeikan Univ.) |
4th Author's Name |
Mutsuo Sano |
4th Author's Affiliation |
Osaka Institute of Technology (OIT) |
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Speaker |
Author-1 |
Date Time |
2019-03-08 15:20:00 |
Presentation Time |
25 minutes |
Registration for |
WIT |
Paper # |
WIT2018-69 |
Volume (vol) |
vol.118 |
Number (no) |
no.491 |
Page |
pp.51-56 |
#Pages |
6 |
Date of Issue |
2019-03-01 (WIT) |
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