3 papers
cs.CV2025
Weakly Supervised Food Image Segmentation using Vision Transformers and Segment Anything Model
Ioannis Sarafis, Alexandros Papadopoulos, Anastasios Delopoulos
In this paper, we propose a weakly supervised semantic segmentation approach for food images which takes advantage of the zero-shot capabilities and promptability of the Segment An…
eess.SP2025
Estimation of Food Intake Quantity Using Inertial Signals from Smartwatches
Ioannis Levi, Konstantinos Kyritsis, Vasileios Papapanagiotou +2
Accurate monitoring of eating behavior is crucial for managing obesity and eating disorders such as bulimia nervosa. At the same time, existing methods rely on multiple and/or spec…
cs.CY2025
A system for objectively measuring behavior and the environment to support large-scale studies on childhood obesity
Vasileios Papapanagiotou, Ioannis Sarafis, Leonidas Alagialoglou +3
Advances in IoT technologies combined with new algorithms have enabled the collection and processing of high-rate multi-source data streams that quantify human behavior in a fine-g…