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Paper Abstract and Keywords
Presentation 2019-07-17 14:00
Athlete diet analysis based on large scale recipe data and text-based diet records
Miyuki Kawarada, Hiroaki Karasawa (UT), Misako Sakamoto (DAH), Sosuke Amano (foo.log), Yoko Yamakata, Kiyoharu Aizawa (UT) LOIS2019-2
Abstract (in Japanese) (See Japanese page) 
(in English) For athletes, food management is very important for improving performance and maintaining the condition. However, it is difficult for athletes in the university athletic club to properly manage all daily meals.
Therefore, we aimed to analyze the eating habits of athletes from the recorded meal in text, and to support appropriate food management. First, we searched for the most similar recipe in the recipe database and estimated the category to which the recorded meal belongs. And we defined the number of meals by category as eating habits, and we performed an analysis.
In this study, we analyzed the actual student athlete's diet records and quantitatively evaluated the difference in eating tendency among athletes.
Keyword (in Japanese) (See Japanese page) 
(in English) Lifelog / Athlete / Nutrition Management / Recipe search / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 123, LOIS2019-2, pp. 1-6, July 2019.
Paper # LOIS2019-2 
Date of Issue 2019-07-10 (LOIS) 
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)
Download PDF LOIS2019-2

Conference Information
Committee LOIS IPSJ-DC  
Conference Date 2019-07-17 - 2019-07-18 
Place (in Japanese) (See Japanese page) 
Place (in English) Center for Computational Sciences, University of Tsukuba 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To LOIS 
Conference Code 2019-07-LOIS-DC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Athlete diet analysis based on large scale recipe data and text-based diet records 
Sub Title (in English)  
Keyword(1) Lifelog  
Keyword(2) Athlete  
Keyword(3) Nutrition Management  
Keyword(4) Recipe search  
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Keyword(6)  
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1st Author's Name Miyuki Kawarada  
1st Author's Affiliation The University of Tokyo (UT)
2nd Author's Name Hiroaki Karasawa  
2nd Author's Affiliation The University of Tokyo (UT)
3rd Author's Name Misako Sakamoto  
3rd Author's Affiliation DOME ATHLETE HOUSE (DAH)
4th Author's Name Sosuke Amano  
4th Author's Affiliation foo.log (foo.log)
5th Author's Name Yoko Yamakata  
5th Author's Affiliation The University of Tokyo (UT)
6th Author's Name Kiyoharu Aizawa  
6th Author's Affiliation The University of Tokyo (UT)
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Speaker Author-1 
Date Time 2019-07-17 14:00:00 
Presentation Time 25 minutes 
Registration for LOIS 
Paper # LOIS2019-2 
Volume (vol) vol.119 
Number (no) no.123 
Page pp.1-6 
#Pages 6 
Date of Issue 2019-07-10 (LOIS) 

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