Presentation | 2014-03-07 Visualization using food distance and personal food intake based on log data Yuji UDAGAWA, Kiyoharu AIZAWA, Makoto OGAWA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we define food distances in a variety of ways, use two-dimensional mapping methods and hierarchical clustering methods, and visualize food images using general food scatter diagrams that focuses on the relationship between foods. In addition, the purpose of this study was visualization of personal food intake based the food log data of the user, and support of intuitive understanding of the personal food intake. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Foodlog / Food Distance / Visualization / Food Intake |
Paper # | LOIS2013-65 |
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Committee | LOIS |
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Conference Date | 2014/2/28(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Registration To | Life Intelligence and Office Information Systems (LOIS) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Visualization using food distance and personal food intake based on log data |
Sub Title (in English) | |
Keyword(1) | Foodlog |
Keyword(2) | Food Distance |
Keyword(3) | Visualization |
Keyword(4) | Food Intake |
1st Author's Name | Yuji UDAGAWA |
1st Author's Affiliation | The University of Tokyo() |
2nd Author's Name | Kiyoharu AIZAWA |
2nd Author's Affiliation | The University of Tokyo |
3rd Author's Name | Makoto OGAWA |
3rd Author's Affiliation | foo.log |
Date | 2014-03-07 |
Paper # | LOIS2013-65 |
Volume (vol) | vol.113 |
Number (no) | 479 |
Page | pp.pp.- |
#Pages | 6 |
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