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Paper Abstract and Keywords
Presentation 2025-06-18 16:40
Development of a Nutrition Estimation Model via Ingredient Estimation from Meal Images for Dietary Counseling by Dietitians
Ryoma Maeda, Kiyoharu Aizawa (UTokyo), Keisuke Shirai, Hirotaka Kameko, Shinsuke Mori (Kyoto Univ.), Akiho Shinagawa (UT IHSS ARIHHP), Keiko Namma-Motonaga, Akiko Kamei (JISS), Yoko Yamakata (UTokyo)
Abstract (in Japanese) (See Japanese page) 
(in English) Nutritional support for athletes requires precise estimation of not only major nutrients but also micronutrients. In this study, we propose a method to estimate ingredients and their weights using a large multimodal model, and then to estimate their nutritional values by comparing them with the Standard Tables of Food Composition in Japan. We will attempt to construct the above method by fine-tuning a large multimodal model using annotated data for recipes collected from the Web, and evaluate its performance using recipes with meal images and nutritional data created at a cafeteria for athletes at the Japan Institute of Sports Sciences.
Keyword (in Japanese) (See Japanese page) 
(in English) Multimodal Large Language Model / nutrition estimation / ingredient estimation / / / / /  
Reference Info. ITE Tech. Rep., vol. 49, no. 17, HI2025-19, pp. 1-6, June 2025.
Paper # HI2025-19 
Date of Issue 2025-06-11 (HI) 
ISSN Online edition: ISSN 2424-1970
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Conference Information
Committee HI IEICE-MVE HI-SIG-DeMO IPSJ-HCI IPSJ-EC  
Conference Date 2025-06-18 - 2025-06-19 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To HI 
Conference Code 2025-06-HI-MVE-SIG-DeMO-HCI-EC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Development of a Nutrition Estimation Model via Ingredient Estimation from Meal Images for Dietary Counseling by Dietitians 
Sub Title (in English)  
Keyword(1) Multimodal Large Language Model  
Keyword(2) nutrition estimation  
Keyword(3) ingredient estimation  
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1st Author's Name Ryoma Maeda  
1st Author's Affiliation The University of Tokyo (UTokyo)
2nd Author's Name Kiyoharu Aizawa  
2nd Author's Affiliation The University of Tokyo (UTokyo)
3rd Author's Name Keisuke Shirai  
3rd Author's Affiliation Kyoto University (Kyoto Univ.)
4th Author's Name Hirotaka Kameko  
4th Author's Affiliation Kyoto University (Kyoto Univ.)
5th Author's Name Shinsuke Mori  
5th Author's Affiliation Kyoto University (Kyoto Univ.)
6th Author's Name Akiho Shinagawa  
6th Author's Affiliation University of Tsukuba, Institute of Health & Sport Sciences, Advanced Research Initiative for Human High Performance (UT IHSS ARIHHP)
7th Author's Name Keiko Namma-Motonaga  
7th Author's Affiliation Japan Institute of Sports Sciences, Japan High Performance Sport Center (JISS)
8th Author's Name Akiko Kamei  
8th Author's Affiliation Japan Institute of Sports Sciences, Japan High Performance Sport Center (JISS)
9th Author's Name Yoko Yamakata  
9th Author's Affiliation The University of Tokyo (UTokyo)
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Speaker Author-1 
Date Time 2025-06-18 16:40:00 
Presentation Time 20 minutes 
Registration for HI 
Paper # HI2025-19 
Volume (vol) vol.49 
Number (no) no.17 
Page pp.1-6 
#Pages 6 
Date of Issue 2025-06-11 (HI) 

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