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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
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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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Conference Information
Committee AI  
Conference Date 2022-12-21 - 2022-12-21 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
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)  
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  
8th Author's Affiliation 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
Date of Issue 2022-12-14 (AI) 


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