[HTML][HTML] A systematic literature review on obesity: Understanding the causes & consequences of obesity and reviewing various machine learning approaches used to …

M Safaei, EA Sundararajan, M Driss, W Boulila… - Computers in biology …, 2021 - Elsevier
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 …

Deep learning algorithms for human activity recognition using mobile and wearable sensor networks: State of the art and research challenges

HF Nweke, YW Teh, MA Al-Garadi, UR Alo - Expert Systems with …, 2018 - Elsevier
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 …

Deep learning for health informatics

D Ravì, C Wong, F Deligianni… - IEEE journal of …, 2016 - ieeexplore.ieee.org
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 …

A survey on food computing

W Min, S Jiang, L Liu, Y Rui, R Jain - ACM Computing Surveys (CSUR), 2019 - dl.acm.org
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 …

[HTML][HTML] Precision nutrition: A systematic literature review

D Kirk, C Catal, B Tekinerdogan - Computers in Biology and Medicine, 2021 - Elsevier
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 …

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 …

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 …

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 …

Intelligent food processing: Journey from artificial neural network to deep learning

J Nayak, K Vakula, P Dinesh, B Naik, D Pelusi - Computer Science Review, 2020 - Elsevier
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 …

A review on vision-based analysis for automatic dietary assessment

W Wang, W Min, T Li, X Dong, H Li, S Jiang - Trends in Food Science & …, 2022 - Elsevier
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 …