This article provides an up-to-date review of technological advances in 3 key areas related
to diet monitoring and precision nutrition. First, we review developments in mobile …

Food and fluid intake monitoring are essential for reducing the risk of dehydration,
malnutrition, and obesity. The existing research has been preponderantly focused on dietary …

The first step in any dietary monitoring system is the automatic detection of eating episodes.
To detect eating episodes, either sensor data or images can be used, and either method can …

Background Nutrition research is relying more on artificial intelligence and machine learning
models to understand, diagnose, predict, and explain data. While artificial intelligence and …

Wearable inertial measurement units (IMUs) are being used to quantify gait characteristics
that are associated with increased fall risk, but the current limitation is the lack of contextual …

Unhealthy diet is a top risk factor causing obesity and numerous chronic diseases. To help
the public adopt healthy diet, nutrition scientists need user-friendly tools to conduct Dietary …

Nowadays, individuals have very stressful lifestyles, affecting their nutritional habits. In the
early stages of life, teenagers begin to exhibit bad habits and inadequate nutrition. Likewise …

Unhealthy dietary habits are considered as the primary cause of various chronic diseases,
including obesity and diabetes. The automatic food intake monitoring system has the …

Camera-based passive dietary intake monitoring is able to continuously capture the eating
episodes of a subject, recording rich visual information, such as the type and volume of food …

Background: Accurate estimation of dietary intake is challenging. However, whilst some
progress has been made in high-income countries, low-and middle-income countries …