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 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
Conference Date 2014/2/28(1days)
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Registration To Life Intelligence and Office Information Systems (LOIS)
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
Date of Issue