[HTML][HTML] A systematic literature review on obesity: Understanding the causes & consequences of obesity and reviewing various machine learning approaches used to …
Obesity is considered a principal public health concern and ranked as the fifth foremost
reason for death globally. Overweight and obesity are one of the main lifestyle illnesses that …
reason for death globally. Overweight and obesity are one of the main lifestyle illnesses that …
Deep learning algorithms for human activity recognition using mobile and wearable sensor networks: State of the art and research challenges
Human activity recognition systems are developed as part of a framework to enable
continuous monitoring of human behaviours in the area of ambient assisted living, sports …
continuous monitoring of human behaviours in the area of ambient assisted living, sports …
Deep learning for health informatics
With a massive influx of multimodality data, the role of data analytics in health informatics
has grown rapidly in the last decade. This has also prompted increasing interests in the …
has grown rapidly in the last decade. This has also prompted increasing interests in the …
A survey on food computing
Food is essential for human life and it is fundamental to the human experience. Food-related
study may support multifarious applications and services, such as guiding human behavior …
study may support multifarious applications and services, such as guiding human behavior …
[HTML][HTML] Precision nutrition: A systematic literature review
Precision Nutrition research aims to use personal information about individuals or groups of
individuals to deliver nutritional advice that, theoretically, would be more suitable than …
individuals to deliver nutritional advice that, theoretically, would be more suitable than …
Identification of risk factors associated with obesity and overweight—a machine learning overview
A Chatterjee, MW Gerdes, SG Martinez - Sensors, 2020 - mdpi.com
Social determining factors such as the adverse influence of globalization, supermarket
growth, fast unplanned urbanization, sedentary lifestyle, economy, and social position slowly …
growth, fast unplanned urbanization, sedentary lifestyle, economy, and social position slowly …
Promising perspectives on novel protein food sources combining artificial intelligence and 3D food printing for food industry
MG Bedoya, DR Montoya, G Tabilo-Munizaga… - Trends in Food Science …, 2022 - Elsevier
Background Novel food matrices with high protein content and biological value, good amino
acid profile, and functionality based on algae, insects, plants, fungi, and microbial proteins …
acid profile, and functionality based on algae, insects, plants, fungi, and microbial proteins …
Food recognition: a new dataset, experiments, and results
G Ciocca, P Napoletano… - IEEE journal of biomedical …, 2016 - ieeexplore.ieee.org
We propose a new dataset for the evaluation of food recognition algorithms that can be used
in dietary monitoring applications. Each image depicts a real canteen tray with dishes and …
in dietary monitoring applications. Each image depicts a real canteen tray with dishes and …
Intelligent food processing: Journey from artificial neural network to deep learning
Since its initiation, ANN became popular and also plays a key role in enhancing the latest
technology. With an increase in industrial automation and the Internet of Things, now it is …
technology. With an increase in industrial automation and the Internet of Things, now it is …
A review on vision-based analysis for automatic dietary assessment
Background: Maintaining a healthy diet is vital to avoid health-related issues, eg,
undernutrition, obesity and many non-communicable diseases. An indispensable part of the …
undernutrition, obesity and many non-communicable diseases. An indispensable part of the …