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相关论文: Food Recognition and Nutritional Apps

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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…

计算机视觉与模式识别 · 计算机科学 2020-12-08 Charles N. C. Freitas , Filipe R. Cordeiro , Valmir Macario

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…

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…

计算机与社会 · 计算机科学 2019-04-18 Ahmed Fadhil

What we eat is one of the most frequent and important health decisions we make in daily life, yet it remains notoriously difficult to capture and understand. Effective food journaling is thus a grand challenge in personal health…

人机交互 · 计算机科学 2017-02-24 Shubham Goyal , Qi Liu , Khairina Tajul-Arifin , Waqas Awan , Bimlesh Wadhwa , Zhenguang Liu

Nowadays, we can find several diseases related to the unhealthy diet habits of the population, such as diabetes, obesity, anemia, bulimia and anorexia. In many cases, these diseases are related to the food consumption of people.…

计算机视觉与模式识别 · 计算机科学 2016-11-03 Pedro Herruzo , Marc Bolaños , Petia Radeva

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…

计算机与社会 · 计算机科学 2021-07-13 Ghalib Ahmed Tahir , Chu Kiong Loo , Foong Ming Moy , Nadine Kong

The development of automatic nutrition diaries, which would allow to keep track objectively of everything we eat, could enable a whole new world of possibilities for people concerned about their nutrition patterns. With this purpose, in…

计算机视觉与模式识别 · 计算机科学 2017-01-20 Marc Bolaños , Petia Radeva

Diabetes is one of the deadliest diseases in the world and affects nearly 10 percent of the global adult population. Fortunately, powerful new technologies allow for a consistent and reliable treatment plan for people with diabetes. One…

其他定量生物学 · 定量生物学 2021-01-08 Julia Ann Jose , Trae Waggoner , Sudarsan Manikandan

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…

Everyone eats. However, people do not always know what to eat. They need a little help and inspiration. Consequently, a number of apps, services, and programs have developed recommenders around food. These cover food, meal, recipe, and…

信息检索 · 计算机科学 2018-09-18 Carl Anderson

Early diagnosis of diabetic retinopathy for treatment of the disease has been failing to reach diabetic people living in rural areas. Shortage of trained ophthalmologists, limited availability of healthcare centers, and expensiveness of…

图像与视频处理 · 电气工程与系统科学 2020-04-08 Misgina Tsighe Hagos , Shri Kant , Surayya Ado Bala

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…

计算机视觉与模式识别 · 计算机科学 2024-10-01 Madhumita Veeramreddy , Ashok Kumar Pradhan , Swetha Ghanta , Laavanya Rachakonda , Saraju P Mohanty

One of the most common critical factors directly related to the cause of a chronic disease is unhealthy diet consumption. In this sense, building an automatic system for food analysis could allow a better understanding of the nutritional…

计算机视觉与模式识别 · 计算机科学 2018-01-29 Eduardo Aguilar , Marc Bolaños , Petia Radeva

People with diabetes need insulin delivery to effectively manage their blood glucose levels, especially after meals, because their bodies either do not produce enough insulin or cannot fully utilize it. Accurate insulin delivery starts with…

系统与控制 · 电气工程与系统科学 2024-11-21 Hanyu Zeng , Hui Ji , Pengfei Zhou

Gestational diabetes (GDM) poses a growing health risk to both pregnant women and their offspring. While telehealth interventions for GDM management have proven effective, they have traditionally relied on healthcare professionals for…

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…

人机交互 · 计算机科学 2017-05-02 Longqi Yang , Cheng-Kang Hsieh , Hongjian Yang , Nicola Dell , Serge Belongie , Curtis Cole , Deborah Estrin

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,…

人机交互 · 计算机科学 2020-02-17 Yixuan Zhang , Andrea G. Parker

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…

计算机视觉与模式识别 · 计算机科学 2024-03-05 Assylzhan Izbassar , Pakizar Shamoi

Food is very essential for human life and it is fundamental to the human experience. Food-related study may support multifarious applications and services, such as guiding the human behavior, improving the human health and understanding the…

计算机与社会 · 计算机科学 2019-07-17 Weiqing Min , Shuqiang Jiang , Linhu Liu , Yong Rui , Ramesh Jain

Privacy nutrition labels provide a way to understand an app's key data practices without reading the long and hard-to-read privacy policies. Recently, the app distribution platforms for iOS(Apple) and Android(Google) have implemented…

计算机与社会 · 计算机科学 2023-04-26 Rishabh Khandelwal , Asmit Nayak , Paul Chung , Kassem Fawaz