Cited by 355Mobile Health and mHealth ApplicationsInnovation in Digital Healthcare SystemsNutrition, Health and Food Behavior

The Use of Mobile Devices in Aiding Dietary Assessment and Evaluation

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Fengqing Zhu, Bosch, Marc, Insoo Woo, SungYe Kim, Boushey, Carol J, Ebert, David S, Delp, Edward J·2010·IEEE Journal of Selected Topics in Signal Processing

Abstract

There is a growing concern about chronic diseases and other health problems related to diet including obesity and cancer. The need to accurately measure diet (what foods a person consumes) becomes imperative. Dietary intake provides valuable insights for mounting intervention programs for prevention of chronic diseases. Measuring accurate dietary intake is considered to be an open research problem in the nutrition and health fields. In this paper, we describe a novel mobile telephone food record that will provide an accurate account of daily food and nutrient intake. Our approach includes the use of image analysis tools for identification and quantification of food that is consumed at a meal. Images obtained before and after foods are eaten are used to estimate the amount and type of food consumed. The mobile device provides a unique vehicle for collecting dietary information that reduces the burden on respondents that are obtained using more classical approaches for dietary assessment. We describe our approach to image analysis that includes the segmentation of food items, features used to identify foods, a method for automatic portion estimation, and our overall system architecture for collecting the food intake information.

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Authors
Zhu, F., Bosch, M., Woo, I., Kim, S., Boushey, C. J., Ebert, D. S., & Delp, E. J.
Affiliations
Purdue University West Lafayette (US)
Venue
IEEE Journal of Selected Topics in Signal Processing
Published
2010-08
Volume
4
Issue
4
Pages
756-766
ISSN
  • 1932-4553 (ISSN-L)
  • 1941-0484
OpenAlex
W2109257383
Cited by
355
References
61
Citations by year
2026: 4 · 2025: 10 · 2024: 11 · 2023: 18 · 2022: 23 · 2021: 28 · 2020: 15 · 2019: 23 · 2018: 28 · 2017: 40 · 2016: 30 · 2015: 36 · 2014: 29 · 2013: 23 · 2012: 20
FWCI
34.17
Type
journal article
Language
en
Open access
Locations
  • IEEE Journal of Selected Topics in Signal Processing (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • Purdue University
  • National Cancer Institute (U01CA130784)
  • National Institute of Diabetes and Digestive and Kidney Diseases (R01DK073711)
Topics
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Health Sciences › Health Professions › Health Information Management › Innovation in Digital Healthcare Systems
  • Health Sciences › Nursing › Nutrition and Dietetics › Nutrition, Health and Food Behavior
Keywords
dietary assessment, food intake estimation, image analysis, food segmentation, food recognition, mobile health, chronic disease prevention, obesity, cancer prevention, nutrient intake

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