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The advancement of artificial intelligence (AI) and the significant growth in the use of food consumption tracking and recommendation-related apps in the app stores have created a need for an evaluation system, as minimal information is…

Software Engineering · Computer Science 2022-08-05 Sabiha Samad , Fahmida Ahmed , Samsun Naher , Muhammad Ashad Kabir , Anik Das , Sumaiya Amin , Sheikh Mohammed Shariful Islam

Maintaining health and fitness through a balanced diet is essential for preventing non communicable diseases such as heart disease, diabetes, and cancer. NutriVision combines smart healthcare with computer vision and machine learning to…

Computer Vision and Pattern Recognition · Computer Science 2024-10-01 Madhumita Veeramreddy , Ashok Kumar Pradhan , Swetha Ghanta , Laavanya Rachakonda , Saraju P Mohanty

Food recognition and nutritional apps are trending technologies that may revolutionise the way people with diabetes manage their diet. Such apps can monitor food intake as a digital diary and even employ artificial intelligence to assess…

Computer Vision and Pattern Recognition · Computer Science 2024-10-14 Lubnaa Abdur Rahman , Ioannis Papathanail , Lorenzo Brigato , Elias K. Spanakis , Stavroula Mougiakakou

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

Nutrient-based meal recommendations have the potential to help individuals prevent or manage conditions such as diabetes and obesity. However, learning people's food preferences and making recommendations that simultaneously appeal to their…

Human-Computer Interaction · Computer Science 2017-05-02 Longqi Yang , Cheng-Kang Hsieh , Hongjian Yang , Nicola Dell , Serge Belongie , Curtis Cole , Deborah Estrin

Growing awareness of wellness has prompted people to consider whether their dietary patterns align with their health and fitness goals. In response, researchers have introduced various wearable dietary monitoring systems and dietary…

Human-Computer Interaction · Computer Science 2026-02-10 Zhihan Jiang , Running Zhao , Lin Lin , Yue Yu , Handi Chen , Xinchen Zhang , Xuhai Xu , Yifang Wang , Xiaojuan Ma , Edith C. H. Ngai

An important aspect of health monitoring is effective logging of food consumption. This can help management of diet-related diseases like obesity, diabetes, and even cardiovascular diseases. Moreover, food logging can help fitness…

Computer Vision and Pattern Recognition · Computer Science 2020-10-28 Doyen Sahoo , Wang Hao , Shu Ke , Wu Xiongwei , Hung Le , Palakorn Achananuparp , Ee-Peng Lim , Steven C. H. Hoi

Maintaining a healthy lifestyle has become increasingly challenging in today's sedentary society marked by poor eating habits. To address this issue, both national and international organisations have made numerous efforts to promote…

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

Nowadays millions of images are shared on social media and web platforms. In particular, many of them are food images taken from a smartphone over time, providing information related to the individual's diet. On the other hand, eating…

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

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

In healthcare, artificial intelligence (AI) has been changing the way doctors and health experts take care of people. This paper will cover how AI is making major changes in the health care system, especially with nutrition. Various machine…

Human-Computer Interaction · Computer Science 2024-04-03 Ritu Ramakrishnan , Tianxiang Xing , Tianfeng Chen , Ming-Hao Lee , Jinzhu Gao

We present a mobile application made to recognize food items of multi-object meal from a single image in real-time, and then return the nutrition facts with components and approximate amounts. Our work is organized in two parts. First, we…

Computer Vision and Pattern Recognition · Computer Science 2019-09-17 Jianing Sun , Katarzyna Radecka , Zeljko Zilic

Studies with the primary aim of addressing eating disorders focus on assessing the nutrient content of food items with an exclusive focus on caloric intake. There are two primary impediments that can be noted in these studies. The first of…

Databases · Computer Science 2023-01-26 Lexington Whalen , Brie Turner-McGrievy , Matthew McGrievy , Andrew Hester , Homayoun Valafar

Understanding the nutritional content of food from visual data is a challenging computer vision problem, with the potential to have a positive and widespread impact on public health. Studies in this area are limited to existing datasets in…

Computer Vision and Pattern Recognition · Computer Science 2021-06-23 Quin Thames , Arjun Karpur , Wade Norris , Fangting Xia , Liviu Panait , Tobias Weyand , Jack Sim

To support people trying to lose weight and stay healthy, more and more fitness apps have sprung up including the ability to track both calories intake and expenditure. Users of such apps are part of a wider ``quantified self'' movement and…

Human-Computer Interaction · Computer Science 2015-10-19 Ingmar Weber , Palakorn Achananuparp

Nowadays, it is common for people to take photographs of every beverage, snack, or meal they eat and then post these photographs on social media platforms. Leveraging these social trends, real-time food recognition and reliable…

Computer Vision and Pattern Recognition · Computer Science 2023-05-15 Aknur Karabay , Arman Bolatov , Huseyin Atakan Varol , Mei-Yen Chan

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

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
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