The potential of short-wave infrared hyperspectral imaging and deep learning for dietary assessment: a prototype on predicting closed sandwiches fillings.

Journal: Frontiers in nutrition
Published Date:

Abstract

INTRODUCTION: Accurate measurement of dietary intake without interfering in natural eating habits is a long-standing problem in nutritional epidemiology. We explored the applicability of hyperspectral imaging and machine learning for dietary assessment of home-prepared meals, by building a proof-of-concept, which automatically detects food ingredients inside closed sandwiches.

Authors

  • Esther Kok
    Division of Human Nutrition and Health, Wageningen University and Research, Wageningen, Netherlands.
  • Aneesh Chauhan
    Wageningen Food and Biobased Research, Wageningen University and Research, Wageningen, Netherlands.
  • Michele Tufano
    Division of Human Nutrition and Health, Wageningen University and Research, Wageningen, Netherlands.
  • Edith Feskens
    Division of Human Nutrition and Health, Wageningen University and Research, Wageningen, Netherlands.
  • Guido Camps
    Division of Human Nutrition and Health, Wageningen University and Research, Wageningen, Netherlands.

Keywords

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