Image Recognition-Based Tool for Food Recording and Analysis: FoodLog-Reference-Cited by-同舟云学术

Image Recognition-Based Tool for Food Recording and Analysis: FoodLog

Published:2019-12-04 Issue: Volume: Page:1-9
ISSN:
Container-title:Connected Health in Smart Cities
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Author:

Aizawa Kiyoharu

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-27844-1_1

Reference8 articles.

1. K. Aizawa, M. Ogawa, FoodLog: Multimedia tool for healthcare applications. IEEE Multi Media 22(2), 4–9 (2015)

2. FoodLog. http://app.foodlog.jp/

3. K. Aizawa, K. Maeda, M. Ogawa, Y. Sato, M. Kasamatsu, K. Waki, H. Takimoto, Comparative study of the routine daily usability of FoodLog: A smartphone-based food recording tool assisted by image retrieval. J. Diabetes Sci. Technol. 8, 203–208 (2014)

4. S. Amano, S. Horiguchi, K. Aizawa, K. Maeda, M. Kubota, M. Ogawa, Food search based on user feedback to assist image-based food recording systems, in ACM Multimedia Workshop on Multimedia Assisted Dietary Management (MADiMa), (2016), pp. 71–75

5. K. Waki, K. Aizawa, S. Kato, H. Fujita, H. Lee, H. Kobayashi, M. Ogawa, K. Mouri, T. Kadowaki, K. Ohe, DialBetics with a multimedia food recording tool, FoodLog: Smartphone-based self-management for type 2 diabetes. J. Diabetes Sci. Technol. 9(3), 534–540 (2015)

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