78 citations · 216 across the 19 of their papers we have counts for
5 papers · 1 filter
A Data Driven End-to-end Approach for In-the-wild Monitoring of Eating Behavior Using Smartwatches
Konstantinos Kyritsis, Christos Diou, Anastasios Delopoulos
The increased worldwide prevalence of obesity has sparked the interest of the scientific community towards tools that objectively and automatically monitor eating behavior. Despite…
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…
Detecting Parkinsonian Tremor from IMU Data Collected In-The-Wild using Deep Multiple-Instance Learning
Alexandros Papadopoulos, Konstantinos Kyritsis, Lisa Klingelhoefer +3
Parkinson's Disease (PD) is a slowly evolving neuro-logical disease that affects about 1% of the population above 60 years old, causing symptoms that are subtle at first, but whose…
BigO: A public health decision support system for measuring obesogenic behaviors of children in relation to their local environment
Christos Diou, Ioannis Sarafis, Vasileios Papapanagiotou +28
Obesity is a complex disease and its prevalence depends on multiple factors related to the local socioeconomic, cultural and urban context of individuals. Many obesity prevention s…