Electroencephalography (EEG)-based emotion recognition is gaining increasing importance
due to its potential applications in various scientific fields, ranging from psychophysiology to …

Under circumstances of fire, panic usually brings uncertainty and unpredictability to
evacuation. Therefore, a deep understanding of panic is desired. This study aims to dig into …

Wearable devices have been shown to play an important role in disease prevention and
health management, through the multimodal acquisition of peripheral biosignals. However …

Physiological data are nowadays frequently used to recognize the affective state of subjects
while performing different tasks. Automatic recognition of a stressful state as a consequence …

Physiological signals can potentially be applied as objective measures to understand the
behavior and engagement of users interacting with information access systems. However …

Learning concentration, as a crucial factor influencing learning outcomes, provides the basis
for learners' self-regulation and teachers' instructional adjustments and intervention …

Emotions significantly shape decision-making, and targeted emotional elicitations represent
an important factor in neuromarketing, where they impact advertising effectiveness by …

Objective The diagnosis of bladder dysfunction for children depends on the confirmation of
abnormal bladder shape and bladder compliance. The existing gold standard needs to …

Involving and engaging people with intellectual disabilities on issues relating to their mental
wellbeing is essential if relevant tools and solutions are to be developed. This research …

Emotion recognition based on electroencephalogram signals (EEG) has been analyzed
extensively in different applications, most of them using medical-grade equipment in …