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Related papers: Diet2Vec: Multi-scale analysis of massive dietary …

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Changing dietary habits and keeping food diary encourages fewer calorie consumption, and thus weight loss. Studies have shown that people who keep food diary are more successful in losing weight and keeping it off. However, no study has…

Computers and Society · Computer Science 2019-04-18 Ahmed Fadhil

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

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

With diet and nutrition apps reaching 1.4 billion users in 2022 [1], it's not surprise that popular health apps, MyFitnessPal, Noom, and Calorie Counter, are surging in popularity. However, one major setback [2] of nearly all nutrition…

Computer Vision and Pattern Recognition · Computer Science 2024-10-22 Michelle Han , Junyao Chen , Zhengyuan Zhou

The increased worldwide prevalence of obesity has sparked the interest of the scientific community towards tools that objectively and automatically monitor eating behavior. Despite the study of obesity being in the spotlight, such tools can…

Signal Processing · Electrical Eng. & Systems 2020-10-15 Konstantinos Kyritsis , Christos Diou , Anastasios Delopoulos

Food journaling is an effective method to help people identify their eating patterns and encourage healthy eating habits as it requires self-reflection on eating behaviors. Current tools have predominately focused on tracking food intake,…

Human-Computer Interaction · Computer Science 2020-02-17 Yixuan Zhang , Andrea G. Parker

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

Current research in food analysis primarily concentrates on tasks such as food recognition, recipe retrieval and nutrition estimation from a single image. Nevertheless, there is a significant gap in exploring the impact of food intake on…

Multimedia · Computer Science 2024-09-26 Yinxuan Gui , Bin Zhu , Jingjing Chen , Chong-Wah Ngo , Yu-Gang Jiang

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…

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

Learning effective recipe representations is essential in food studies. Unlike what has been developed for image-based recipe retrieval or learning structural text embeddings, the combined effect of multi-modal information (i.e., recipe…

Machine Learning · Computer Science 2022-05-26 Yijun Tian , Chuxu Zhang , Zhichun Guo , Yihong Ma , Ronald Metoyer , Nitesh V. Chawla

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

Obesity is known to lower the quality of life substantially. It is often associated with increased chances of non-communicable diseases such as diabetes, cardiovascular problems, various cancers, etc. Evidence suggests that diet-related…

Computers and Society · Computer Science 2021-07-13 Ghalib Ahmed Tahir , Chu Kiong Loo , Foong Ming Moy , Nadine Kong

Diet management is key to managing chronic diseases such as diabetes. Automated food recommender systems may be able to assist by providing meal recommendations that conform to a user's nutrition goals and food preferences. Current…

Computation and Language · Computer Science 2021-11-23 Ahmed A. Metwally , Ariel K. Leong , Aman Desai , Anvith Nagarjuna , Dalia Perelman , Michael Snyder

Eating is a fundamental activity in people's daily life. Studies have shown that many health-related problems such as obesity, diabetes and anemia are closely associated with people's unhealthy eating habits (e.g., skipping meals, eating…

Human-Computer Interaction · Computer Science 2020-04-13 Chen Wang , Zhenzhe Lin , Yucheng Xie , Xiaonan Guo , Yanzhi Ren , Yingying Chen

To complement traditional dietary surveys, which are costly and of limited scale, researchers have resorted to digital data to infer the impact of eating habits on people's health. However, online studies are limited in resolution: they are…

Computers and Society · Computer Science 2019-05-02 Luca Maria Aiello , Rossano Schifanella , Daniele Quercia , Lucia Del Prete

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

A rapidly growing amount of content posted online, such as food recipes, opens doors to new exciting applications at the intersection of vision and language. In this work, we aim to estimate the calorie amount of a meal directly from an…

Computer Vision and Pattern Recognition · Computer Science 2020-11-03 Robin Ruede , Verena Heusser , Lukas Frank , Alina Roitberg , Monica Haurilet , Rainer Stiefelhagen

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

With the rising incidence of some diseases, such as obesity and diabetes, a healthy diet is arousing increasing attention. However, most existing food-related research efforts focus on recipe retrieval, user preference-based food…

Information Retrieval · Computer Science 2021-04-20 Wenjie Wang , Ling-yu Duan , Hao Jiang , Peiguang Jing , Xuemeng Song , Liqiang Nie
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