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Related papers: An Intelligent Passive Food Intake Assessment Syst…

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Camera-based passive dietary intake monitoring is able to continuously capture the eating episodes of a subject, recording rich visual information, such as the type and volume of food being consumed, as well as the eating behaviours of the…

In our recent dietary assessment field studies on passive dietary monitoring in Ghana, we have collected over 250k in-the-wild images. The dataset is an ongoing effort to facilitate accurate measurement of individual food and nutrient…

Diet is an important aspect of our health. Good dietary habits can contribute to the prevention of many diseases and improve the overall quality of life. To better understand the relationship between diet and health, image-based dietary…

Computer Vision and Pattern Recognition · Computer Science 2023-01-25 Yue Han , Sri Kalyan Yarlagadda , Tonmoy Ghosh , Fengqing Zhu , Edward Sazonov , Edward J. Delp

Malnutrition is a multidomain problem affecting 54% of older adults in long-term care (LTC). Monitoring nutritional intake in LTC is laborious and subjective, limiting clinical inference capabilities. Recent advances in automatic…

Computer Vision and Pattern Recognition · Computer Science 2022-02-02 Kaylen J Pfisterer , Robert Amelard , Audrey G Chung , Braeden Syrnyk , Alexander MacLean , Heather H Keller , Alexander Wong

Accurate assessment of dietary intake requires improved tools to overcome limitations of current methods including user burden and measurement error. Emerging technologies such as image-based approaches using advanced machine learning…

Computer Vision and Pattern Recognition · Computer Science 2021-10-06 Zeman Shao , Yue Han , Jiangpeng He , Runyu Mao , Janine Wright , Deborah Kerr , Carol Boushey , Fengqing Zhu

Half of long-term care (LTC) residents are malnourished increasing hospitalization, mortality, morbidity, with lower quality of life. Current tracking methods are subjective and time consuming. This paper presents the automated food imaging…

Computer Vision and Pattern Recognition · Computer Science 2021-12-10 Kaylen J. Pfisterer , Robert Amelard , Jennifer Boger , Audrey G. Chung , Heather H. Keller , Alexander Wong

Malnutrition poses a significant threat to global health, resulting from an inadequate intake of essential nutrients that adversely impacts vital organs and overall bodily functioning. Periodic examinations and mass screenings,…

Computer Vision and Pattern Recognition · Computer Science 2023-08-01 Ashish Marisetty , Prathistith Raj M , Praneeth Nemani , Venkanna Udutalapally , Debanjan Das

Advances in image-based dietary assessment methods have allowed nutrition professionals and researchers to improve the accuracy of dietary assessment, where images of food consumed are captured using smartphones or wearable devices. These…

Computer Vision and Pattern Recognition · Computer Science 2021-02-16 Sri Kalyan Yarlagadda , Daniel Mas Montserrat , David Guerra , Carol J. Boushey , Deborah A. Kerr , Fengqing Zhu

Regular nutrient intake monitoring in hospitalised patients plays a critical role in reducing the risk of disease-related malnutrition (DRM). Although several methods to estimate nutrient intake have been developed, there is still a clear…

Computer Vision and Pattern Recognition · Computer Science 2019-06-13 Ya Lu , Thomai Stathopoulou , Maria F. Vasiloglou , Stergios Christodoulidis , Beat Blum , Thomas Walser , Vinzenz Meier , Zeno Stanga , Stavroula G. Mougiakakou

Accurate food intake monitoring is crucial for maintaining a healthy diet and preventing nutrition-related diseases. With the diverse range of foods consumed across various cultures, classic food classification models have limitations due…

Computer Vision and Pattern Recognition · Computer Science 2025-03-11 Hassan Kazemi Tehrani , Jun Cai , Abbas Yekanlou , Sylvia Santosa

Accurately assessing dietary behavior change receptivity is essential for designing effective just-in-time adaptive interventions (JITAIs) that promote healthier eating habits. However, self-report-based assessment of behavior change…

Computer Vision and Pattern Recognition · Computer Science 2026-05-28 Long Li , Yuning Huang , Heather A. Eicher-Miller , J. Graham Thomas , Fengqing Zhu , Edward Sazonov

Monitoring dietary intake is a crucial aspect of promoting healthy living. In recent years, advances in computer vision technology have facilitated dietary intake monitoring through the use of images and depth cameras. However, the current…

Computer Vision and Pattern Recognition · Computer Science 2024-05-15 Aaryam Sharma , Chris Czarnecki , Yuhao Chen , Pengcheng Xi , Linlin Xu , Alexander Wong

Monitoring dietary habits is crucial for preventing health risks associated with overeating and undereating, including obesity, diabetes, and cardiovascular diseases. Traditional methods for tracking food intake rely on self-reported data…

Computer Vision and Pattern Recognition · Computer Science 2025-05-02 Wallace Lee , YuHao Chen

Modern deep learning techniques have enabled advances in image-based dietary assessment such as food recognition and food portion size estimation. Valuable information on the types of foods and the amount consumed are crucial for prevention…

Computer Vision and Pattern Recognition · Computer Science 2021-02-02 Jiangpeng He , Runyu Mao , Zeman Shao , Janine L. Wright , Deborah A. Kerr , Carol J. Boushey , Fengqing Zhu

Regular monitoring of nutrient intake in hospitalised patients plays a critical role in reducing the risk of disease-related malnutrition. Although several methods to estimate nutrient intake have been developed, there is still a clear…

Computer Vision and Pattern Recognition · Computer Science 2020-03-19 Ya Lu , Thomai Stathopoulou , Maria F. Vasiloglou , Stergios Christodoulidis , Zeno Stanga , Stavroula Mougiakakou

Dietary studies showed that dietary-related problem such as obesity is associated with other chronic diseases like hypertension, irregular blood sugar levels, and increased risk of heart attacks. The primary cause of these problems is poor…

Computer Vision and Pattern Recognition · Computer Science 2021-09-07 Ghalib Tahir , Chu Kiong Loo

Worldwide, in 2014, more than 1.9 billion adults, 18 years and older, were overweight. Of these, over 600 million were obese. Accurately documenting dietary caloric intake is crucial to manage weight loss, but also presents challenges…

Computer Vision and Pattern Recognition · Computer Science 2016-06-21 Chang Liu , Yu Cao , Yan Luo , Guanling Chen , Vinod Vokkarane , Yunsheng Ma

The absence of food monitoring has contributed significantly to the increase in the population's weight. Due to the lack of time and busy routines, most people do not control and record what is consumed in their diet. Some solutions have…

Computer Vision and Pattern Recognition · Computer Science 2020-12-08 Charles N. C. Freitas , Filipe R. Cordeiro , Valmir Macario

Recent studies have shown that the environment where people eat can affect their nutritional behaviour. In this work, we provide automatic tools for a personalised analysis of a person's health habits by the examination of daily recorded…

Computer Vision and Pattern Recognition · Computer Science 2019-05-13 Estefania Talavera , Maria Leyva-Vallina , Md. Mostafa Kamal Sarker , Domenec Puig , Nicolai Petkov , Petia Radeva

Reliance on images for dietary assessment is an important strategy to accurately and conveniently monitor an individual's health, making it a vital mechanism in the prevention and care of chronic diseases and obesity. However, image-based…

Computer Vision and Pattern Recognition · Computer Science 2026-02-06 Gautham Vinod , Fengqing Zhu
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