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 …

Understanding the nutritional content of food from visual data is a challenging computer
vision problem, with the potential to have a positive and widespread impact on public health …

With the development of deep learning technology, vision-based food nutrition estimation is
gradually entering the public view for its advantage in accuracy and efficiency. In this paper …

Background To accurately capture an individual's food intake, dietitians are often required to
ask clients about their food frequencies and portions, and they have to rely on the client's …

Food nutrition is generally defined as the heat energy and nutrients obtained from food by
the human body, such as protein, fat, carbohydrates and so on. Throughout human life …

Automated object identification has seen significant progress during the last decade with
close to human-level accuracy, aided by deep learning methods. With the rapid rise of …

Photo-based dietary assessment is becoming more feasible as artificial intelligence
methods improve. However, advancement of these methods for dietary assessment in …

Gait analysis has been studied over the last few decades as the best way to objectively
assess the technical outcome of a procedure designed to improve gait. The treating …

We explore the problem of automatically inferring the amount of kilocalories used by human
during physical activity from his/her video observation. To study this under researched task …

Food computing is both important and challenging in computer vision (CV). It significantly
contributes to the development of CV algorithms due to its frequent presence in datasets …