13 citations · 28 across the 5 of their papers we have counts for
9 papers
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…
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…
Prediabetes detection in unconstrained conditions using wearable sensors
Dimitra Tatli, Vasileios Papapanagiotou, Aris Liakos +2
Prediabetes is a common health condition that often goes undetected until it progresses to type 2 diabetes. Early identification of prediabetes is essential for timely intervention…
Transportation mode recognition based on low-rate acceleration and location signals with an attention-based multiple-instance learning network
Christos Siargkas, Vasileios Papapanagiotou, Anastasios Delopoulos
Transportation mode recognition (TMR) is a critical component of human activity recognition (HAR) that focuses on understanding and identifying how people move within transportatio…
Which Augmentation Should I Use? An Empirical Investigation of Augmentations for Self-Supervised Phonocardiogram Representation Learning
Aristotelis Ballas, Vasileios Papapanagiotou, Christos Diou
Despite recent advancements in deep learning, its application in real-world medical settings, such as phonocardiogram (PCG) classification, remains limited. A significant barrier i…
Self-Supervised Feature Learning of 1D Convolutional Neural Networks with Contrastive Loss for Eating Detection Using an In-Ear Microphone
Vasileios Papapanagiotou, Christos Diou, Anastasios Delopoulos
The importance of automated and objective monitoring of dietary behavior is becoming increasingly accepted. The advancements in sensor technology along with recent achievements in…