Pain is a complex phenomenon, involving sensory and emotional experience, that is often
poorly understood, especially in infants, anesthetized patients, and others who cannot …

Traditional pain assessment approaches ranging from self-reporting methods, to
observational scales, rely on the ability of an individual to accurately assess and …

Objective: Pain assessment in children continues to challenge clinicians and researchers,
as subjective experiences of pain require inference through observable behaviors, both …

Remote photoplethysmography (rPPG), which uses a facial video to measure skin reflection
variations, is a contactless method for monitoring human cardiovascular activity. Due to its …

In recent years, non-contact physiological signal monitoring based on facial video has
garnered significant attention due to its convenience and low cost. Unlike traditional …

In this work multi-classifier-systems (MCS) are discussed. Several fixed and trainable
aggregation rules are presented. The most famous examples of MCS, namely bagging and …

In the last years a lot of effort was made in predicting the heart rate of a participant with
remote Photo-plethysmography (rPPG) from the video channel but only few authors used it …

Recent breakthroughs in machine and deep learning (ML and DL) research have provided
excellent tools for leveraging enormous amounts of data and optimizing huge models with …

Many classification tasks, from the field of automated pain assessment, include a special
type of human-centred data sets. Often, the data is organised in person-specific data …

The performance of multiple classifier systems can be significantly improved by the use of
intelligent classifier combination approaches. In this study, we introduce a novel late fusion …