Paper Abstract and Keywords |
Presentation |
2022-12-21 13:50
Visually impaired support system for meal planning using volume estimation based on RGB-D camera Taro Tokui, Yuya Osaki, Yukie Nagano, Daiki Takamura (Keio), Yuichi Nagaoka (TILS), Yoshimune Hiratsuka (Juntendo), Hirotaka osawa, Satoshi Kurihara (Keio) AI2022-39 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Visually impaired people tend to eat such as "eating one kind of food at a time" or "mixing all the food together" when eating. In Japan, there is a culture that does not favor these ways of eating, which is a psychological barrier for the visually impaired people when eating out. In this study, we examined whether the amount of food remaining in front of the visually impaired people estimated using an RGB-D camera, and whether it is possible for the visually impaired people to plan his or her meal without using visual information. We conducted an evaluation experiment using a blindfolded person with normal eyesight to demonstrate the effectiveness of voice-guided assistance. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Visually impaired / Support for eating / RGB-D Camera / Volume estimation / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 122, no. 322, AI2022-39, pp. 36-41, Dec. 2022. |
Paper # |
AI2022-39 |
Date of Issue |
2022-12-14 (AI) |
ISSN |
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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AI2022-39 |
Conference Information |
Committee |
AI |
Conference Date |
2022-12-21 - 2022-12-21 |
Place (in Japanese) |
(See Japanese page) |
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Topics (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
AI |
Conference Code |
2022-12-AI |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Visually impaired support system for meal planning using volume estimation based on RGB-D camera |
Sub Title (in English) |
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Keyword(1) |
Visually impaired |
Keyword(2) |
Support for eating |
Keyword(3) |
RGB-D Camera |
Keyword(4) |
Volume estimation |
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1st Author's Name |
Taro Tokui |
1st Author's Affiliation |
Keio University (Keio) |
2nd Author's Name |
Yuya Osaki |
2nd Author's Affiliation |
Keio University (Keio) |
3rd Author's Name |
Yukie Nagano |
3rd Author's Affiliation |
Keio University (Keio) |
4th Author's Name |
Daiki Takamura |
4th Author's Affiliation |
Keio University (Keio) |
5th Author's Name |
Yuichi Nagaoka |
5th Author's Affiliation |
Tokyo Independent Living Support Center for the Visually Imparied (TILS) |
6th Author's Name |
Yoshimune Hiratsuka |
6th Author's Affiliation |
Juntendo University (Juntendo) |
7th Author's Name |
Hirotaka osawa |
7th Author's Affiliation |
Keio University (Keio) |
8th Author's Name |
Satoshi Kurihara |
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Keio University (Keio) |
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Speaker |
Author-1 |
Date Time |
2022-12-21 13:50:00 |
Presentation Time |
20 minutes |
Registration for |
AI |
Paper # |
AI2022-39 |
Volume (vol) |
vol.122 |
Number (no) |
no.322 |
Page |
pp.36-41 |
#Pages |
6 |
Date of Issue |
2022-12-14 (AI) |
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