Emotion recognition based on physiological data classification has been a topic of
increasingly growing interest for more than a decade. However, there is a lack of systematic …

The need for objective data-driven usability testing of VR applications is becoming more
tangible with the rapid development of numerous VR applications and their increased …

There is a rich repertoire of methods for stress detection using various physiological signals
and algorithms. However, there is still a gap in research efforts moving from laboratory …

Human-centered approaches are of particular importance when analyzing urban spaces in
technology-driven fields, because understanding how people perceive and react to their …

Stress is widely recognized as a major contributor to a variety of health issues. Stress
prediction using biosignal data recorded by wearables is a key area of study in mobile …

Many logistics companies adopt a manual order picking system. In related research, the
effect of emotion and engagement on work efficiency and human errors was verified …

In the field of stress recognition, the majority of research has conducted experiments on
datasets collected from controlled environments with limited stressors. As these datasets …

In this paper, we face the problem of task classification starting from physiological signals
acquired using wearable sensors with experiments in a controlled environment, designed to …