Opening book details…
Can I read An Artificial Intelligence-Based System to Assess Nutrient Intake for Hospitalised Patients on EtoBox?
An Artificial Intelligence-Based System to Assess Nutrient Intake for Hospitalised Patients by Ya Lu; Thomai Stathopoulou; Maria F. Vasiloglou; Stergios Christodoulidis; Zeno Stanga; Stavroula Mougiakakou is a Computer Science article available to read on EtoBox.
What is An Artificial Intelligence-Based System to Assess Nutrient Intake for Hospitalised Patients about?
Regular monitoring of nutrient intake in hospitalised patients plays a critical role in reducing the risk of disease-related malnutrition. Although several methods to estimate nutrient intake have been developed, there is still a clear demand for a more reliable and fully automated technique, as this could improve data accuracy and reduce both the burden on participants and health costs. In this paper, we propose a novel system based on artificial intelligence (AI) to accurately estimate nutrient intake, by simply processing RGB Depth (RGB-D) image pairs captured before and after meal consumption. The system includes a novel multi-task contextual network for food segmentation, a few-shot learning-based classifier built by limited training samples for food recognition, and an algorithm for 3D surface construction. This allows sequential food segmentation, recognition, and estimation of the consumed food volume, permitting fully automatic estimation of the nutrient intake for each meal. For the development and evaluation of the system, a dedicated new database containing images and nutrient recipes of 322 meals is assembled, coupled to data annotation using innovative strategies. Exp
Who reads An Artificial Intelligence-Based System to Assess Nutrient Intake for Hospitalised Patients?
It is typically read by researchers, students, and practitioners in Computer Science.
- Author
- Ya Lu; Thomai Stathopoulou; Maria F. Vasiloglou; Stergios Christodoulidis; Zeno Stanga; Stavroula Mougiakakou
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Published
- 2021
- Language
- EN
- Field
- Computer Science (Physical Sciences)