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Using Low-Cost Sensing to Support Nutritional Awareness

  • Jennifer Mankoff
  • Gary Hsieh
  • Ho Chak Hung
  • Sharon Lee
  • Elizabeth Nitao
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2498)

Abstract

Nutrition has a big impact on health, including major diseases such as heart disease, osteoporosis, and cancer. This paper presents an application designed to help people keep track of the nutrional content of foods they have eaten. Our work uses shopping receipts to generate suggestions about healthier food items that could help to supplement missing nutrients. We present our system design: a capture and access application that, based on shopping receipt data, provides access to ambiguous suggestions for more nutritious purchases. We also report results from one formative user study suggesting that receipts may provide enough information to extend our work by also estimating what people are actually eating, as opposed to simply what they are purchasing.

Keywords

Optical Character Recognition Dietary Reference Intake Shopping Trip Shopping List Optical Character Recognition System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Jennifer Mankoff
    • 1
  • Gary Hsieh
    • 1
  • Ho Chak Hung
    • 1
  • Sharon Lee
    • 1
  • Elizabeth Nitao
    • 1
  1. 1.Electrical Engineering and Computer Science DepartmentUniversity of California at BerkeleyBerkeleyUSA

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