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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

Sustained high levels of blood glucose in type 2 diabetes (T2DM) can have disastrous long-term health consequences. An essential component of clinical interventions for T2DM is monitoring dietary intake to keep plasma glucose levels within…

Quantitative Methods · Quantitative Biology 2022-06-24 Zepeng Huo , Bobak J. Mortazavi , Theodora Chaspari , Nicolaas Deutz , Laura Ruebush , Ricardo Gutierrez-Osuna

Effective dietary monitoring is critical for managing Type 2 diabetes, yet accurately estimating caloric intake remains a major challenge. While continuous glucose monitors (CGMs) offer valuable physiological data, they often fall short in…

Computer Vision and Pattern Recognition · Computer Science 2025-05-21 Adarsh Kumar

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

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

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

Many aging individuals encounter challenges in effectively tracking their dietary intake, exacerbating their susceptibility to nutrition-related health complications. Self-reporting methods are often inaccurate and suffer from substantial…

Computer Vision and Pattern Recognition · Computer Science 2024-05-14 Matthew Keller , Chi-en Amy Tai , Yuhao Chen , Pengcheng Xi , Alexander Wong

Accurate dietary intake estimation is critical for informing policies and programs to support healthy eating, as malnutrition has been directly linked to decreased quality of life. However self-reporting methods such as food diaries suffer…

Computer Vision and Pattern Recognition · Computer Science 2024-09-04 Chi-en Amy Tai , Matthew Keller , Saeejith Nair , Yuhao Chen , Yifan Wu , Olivia Markham , Krish Parmar , Pengcheng Xi , Heather Keller , Sharon Kirkpatrick , Alexander Wong

Detecting an ingestion environment is an important aspect of monitoring dietary intake. It provides insightful information for dietary assessment. However, it is a challenging problem where human-based reviewing can be tedious, and…

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

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

Accurate monitoring of eating behavior is crucial for managing obesity and eating disorders such as bulimia nervosa. At the same time, existing methods rely on multiple and/or specialized sensors, greatly harming adherence and ultimately,…

Signal Processing · Electrical Eng. & Systems 2025-12-09 Ioannis Levi , Konstantinos Kyritsis , Vasileios Papapanagiotou , Georgios Tsakiridis , Anastasios Delopoulos

Dietary intake data are routinely drawn upon to explore diet-health relationships. However, these data are often subject to measurement error, distorting the true relationships. Beyond measurement error, there are likely complex synergistic…

Machine Learning · Computer Science 2025-02-12 Dylan Spicker , Amir Nazemi , Joy Hutchinson , Paul Fieguth , Sharon I. Kirkpatrick , Michael Wallace , Kevin W. Dodd

Obesity, the leading cause of many non-communicable diseases, occurs mainly for eating more than our body requirements and lack of proper activity. So, being healthy requires heathy diet plans, especially for patients with comorbidities.…

Machine Learning · Computer Science 2023-08-08 Mrinmoy Roy , Srabonti Das , Anica Tasnim Protity

Food logging, both self-directed and prescribed, plays a critical role in uncovering correlations between diet, medical, fitness, and health outcomes. Through conversations with nutritional experts and individuals who practice dietary…

Human-Computer Interaction · Computer Science 2025-11-07 Liam Bakar , Zachary Englhardt , Vidya Srinivas , Girish Narayanswamy , Dilini Nissanka , Shwetak Patel , Vikram Iyer

High calorie intake in the human body on the one hand, has proved harmful in numerous occasions leading to several diseases and on the other hand, a standard amount of calorie intake has been deemed essential by dieticians to maintain the…

Computers and Society · Computer Science 2015-03-24 Pallavi Kuhad , Abdulsalam Yassine , Shervin Shirmohammadi

Dietary intake estimation plays a crucial role in understanding the nutritional habits of individuals and populations, aiding in the prevention and management of diet-related health issues. Accurate estimation requires comprehensive…

Computer Vision and Pattern Recognition · Computer Science 2024-01-18 Chi-en Amy Tai , Saeejith Nair , Olivia Markham , Matthew Keller , Yifan Wu , Yuhao Chen , Alexander Wong

Nutrition estimation is crucial for effective dietary management and overall health and well-being. Existing methods often struggle with sub-optimal accuracy and can be time-consuming. In this paper, we propose NuNet, a transformer-based…

Computer Vision and Pattern Recognition · Computer Science 2024-06-05 Zhengyi Kwan , Wei Zhang , Zhengkui Wang , Aik Beng Ng , Simon See

77% of adults over 50 want to age in place today, presenting a major challenge to ensuring adequate nutritional intake. It has been reported that one in four older adults that are 65 years or older are malnourished and given the direct link…

Computer Vision and Pattern Recognition · Computer Science 2023-04-13 Chi-en Amy Tai , Matthew Keller , Mattie Kerrigan , Yuhao Chen , Saeejith Nair , Pengcheng Xi , Alexander Wong

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
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