13 citations · 61 across the 13 of their papers we have counts for
14 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…
Chewing Detection from Commercial Smart-glasses
Vasileios Papapanagiotou, Anastasia Liapi, Anastasios Delopoulos
Automatic dietary monitoring has progressed significantly during the last years, offering a variety of solutions, both in terms of sensors and algorithms as well as in terms of wha…
Listen2YourHeart: A Self-Supervised Approach for Detecting Murmur in Heart-Beat Sounds
Aristotelis Ballas, Vasileios Papapanagiotou, Anastasios Delopoulos +1
Heart murmurs are abnormal sounds present in heartbeats, caused by turbulent blood flow through the heart. The PhysioNet 2022 challenge targets automatic detection of murmur from a…
Intake Monitoring in Free-Living Conditions: Overview and Lessons we Have Learned
Christos Diou, Konstantinos Kyritsis, Vasileios Papapanagiotou +1
The progress in artificial intelligence and machine learning algorithms over the past decade has enabled the development of new methods for the objective measurement of eating, inc…
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…
Bite-Weight Estimation Using Commercial Ear Buds
Vasileios Papapanagiotou, Stefanos Ganotakis, Anastasios Delopoulos
While automatic tracking and measuring of our physical activity is a well established domain, not only in research but also in commercial products and every-day life-style, automat…
Recognition of food-texture attributes using an in-ear microphone
Vasileios Papapanagiotou, Christos Diou, Janet van den Boer +2
Food texture is a complex property; various sensory attributes such as perceived crispiness and wetness have been identified as ways to quantify it. Objective and automatic recogni…
Collecting big behavioral data for measuring behavior against obesity
Vasileios Papapanagiotou, Ioannis Sarafis, Christos Diou +3
Obesity is currently affecting very large portions of the global population. Effective prevention and treatment starts at the early age and requires objective knowledge of populati…
Inferring the Spatial Distribution of Physical Activity in Children Population from Characteristics of the Environment
Ioannis Sarafis, Christos Diou, Vasileios Papapanagiotou +2
Obesity affects a rising percentage of the children and adolescent population, contributing to decreased quality of life and increased risk for comorbidities. Although the major ca…
A Methodology for Obtaining Objective Measurements of Population Obesogenic Behaviors in Relation to the Environment
Christos Diou, Ioannis Sarafis, Vasileios Papapanagiotou +2
The way we eat and what we eat, the way we move and the way we sleep significantly impact the risk of becoming obese. These aspects of behavior decompose into several personal beha…