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This work proposes for the first time to utilize the regular smartphone -- a popular assistive gadget -- to design a novel, non-invasive method for self-monitoring of one's hydration level on a scale of 1 to 4. The proposed method involves…

Signal Processing · Electrical Eng. & Systems 2024-12-04 Rose Alaslani , Levina Perzhilla , Muhammad Mahboob Ur Rahman , Taous-Meriem Laleg-Kirati , Tareq Y. Al-Naffouri

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 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

Early detection of fertilizer-induced stress in tomato plants is crucial for optimizing crop yield through timely management interventions. While conventional optical methods struggle to detect fertilizer stress in young leaves, these…

Computer Vision and Pattern Recognition · Computer Science 2024-11-22 Sho Ueda , Xujun Ye

This paper presents a smartphone-based imaging system capable of quantifying the concentration of an assortment of biological/chemical assay samples. The main objective is to construct an image database which characterizes the relationship…

Image and Video Processing · Electrical Eng. & Systems 2026-04-17 Zhendong Cao , Hongji Dai , Zhida Li , Ash Parameswaran

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

In this paper we introduce a proposal to provide students in labs with an alternative to the traditional visible range spectrophotometers, whose acquisition and maintenance entails high costs, based on smartphones. Our solution faced two…

Human-Computer Interaction · Computer Science 2023-12-14 Carlos Balado Sánchez , Rebeca P. Díaz Redondo , Ana Fernández Vilas , Angel M. Sánchez Bermúdez

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

With the rise and development of computer vision and LLMs, intelligence is everywhere, especially for people and cars. However, for tremendous food attributes (such as origin, quantity, weight, quality, sweetness, etc.), existing research…

Computer Vision and Pattern Recognition · Computer Science 2025-07-08 Zhenbo Xu , Jinghan Yang , Gong Huang , Jiqing Feng , Liu Liu , Ruihan Sun , Ajin Meng , Zhuo Zhang , Zhaofeng He

Assessment of dietary intake has primarily relied on self-report instruments, which are prone to measurement errors. Dietary assessment methods have increasingly incorporated technological advances particularly mobile, image based…

Computer Vision and Pattern Recognition · Computer Science 2022-09-13 Gautham Vinod , Zeman Shao , Fengqing Zhu

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

Accurate estimation of meal macronutrient composition is a pre-perquisite for precision nutrition, metabolic health monitoring, and glycemic management. Traditional dietary assessment methods, such as self-reported food logs or diet recalls…

The nutritional quality of diets has significantly deteriorated over the past two to three decades, a decline often underestimated by the people. This deterioration, coupled with a hectic lifestyle, has contributed to escalating health…

Computer Vision and Pattern Recognition · Computer Science 2024-03-05 Assylzhan Izbassar , Pakizar Shamoi

Body Mass Index (BMI) is a widely accessible but imprecise proxy of cardiometabolic health. While assessing true body composition is superior, gold-standard methods like Dual-Energy X-ray Absorptiometry (DXA) are not scalable. We address…

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

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

Nutritional assessment is key in order to make decisions about the nature and cause of nutrition related health issues that affect an individual. The systematic process of collecting and interpreting relevant nutrition information, however,…

Computers and Society · Computer Science 2019-07-18 Lars Brenna , Håvard D. Johansen , Dag Johansen

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

Current alignment-based methods for classification in geometric morphometrics do not generally address the classification of new individuals that were not part of the study sample. However, in the context of infant and child nutritional…

Applications · Statistics 2026-01-23 Laura Medialdea , Ana Arribas-Gil , Álvaro Pérez-Romero , Amador Gómez

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
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