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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 …
Image-based food classification and volume estimation for dietary assessment: A review
A daily dietary assessment method named 24-hour dietary recall has commonly been used
in nutritional epidemiology studies to capture detailed information of the food eaten by the …
in nutritional epidemiology studies to capture detailed information of the food eaten by the …
A deep learning approach to on-node sensor data analytics for mobile or wearable devices
The increasing popularity of wearable devices in recent years means that a diverse range of
physiological and functional data can now be captured continuously for applications in …
physiological and functional data can now be captured continuously for applications in …
Deep learning for human activity recognition: A resource efficient implementation on low-power devices
Human Activity Recognition provides valuable contextual information for wellbeing,
healthcare, and sport applications. Over the past decades, many machine learning …
healthcare, and sport applications. Over the past decades, many machine learning …
A comprehensive survey of image-based food recognition and volume estimation methods for dietary assessment
Dietary studies showed that dietary problems such as obesity are associated with other
chronic diseases, including hypertension, irregular blood sugar levels, and increased risk of …
chronic diseases, including hypertension, irregular blood sugar levels, and increased risk of …
[HTML][HTML] Smartphone apps for tracking food consumption and recommendations: Evaluating artificial intelligence-based functionalities, features and quality of current …
The advancement of artificial intelligence (AI) and the significant growth in the use of food
consumption tracking and recommendation-related apps in the app stores have created a …
consumption tracking and recommendation-related apps in the app stores have created a …
Res-vmamba: Fine-grained food category visual classification using selective state space models with deep residual learning
CS Chen, GY Chen, D Zhou, D Jiang… - ar** food vision tasks and plays a key role in
the burgeoning field of computational nutrition. Due to the complexity of food requiring fine …
the burgeoning field of computational nutrition. Due to the complexity of food requiring fine …
Retrieval and classification of food images
Automatic food understanding from images is an interesting challenge with applications in
different domains. In particular, food intake monitoring is becoming more and more important …
different domains. In particular, food intake monitoring is becoming more and more important …
A review on food recognition technology for health applications
Food understanding from digital media has become a challenge with important applications
in many different domains. On the other hand, food is a crucial part of human life since the …
in many different domains. On the other hand, food is a crucial part of human life since the …
Vision-based methods for food and fluid intake monitoring: a literature review
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 …
malnutrition, and obesity. The existing research has been preponderantly focused on dietary …