Emotions have an important role in daily life, not only in human interaction, but also in
decision-making processes, and in the perception of the world around us. Due to the recent …

Emotion recognition from EEG signals allows the direct assessment of the “inner” state of a
user, which is considered an important factor in human-machine-interaction. Many methods …

A large proportion of car accidents are caused by distracted drivers. Thus, comprehensive
analysis and understanding on driver distraction is essential for traffic safety improvement …

Recent years have witnessed a growing interest in EEG-based wearable classifiers of
emotions, which could enable the real-time monitoring of patients suffering from …

Emotions play a critical role in rational and intelligent behavior; a better fundamental
knowledge of them is indispensable for understanding higher order brain function. We …

Electroencephalography (EEG)-based emotion classification during music listening has
gained increasing attention nowadays due to its promise of potential applications such as …

Objective. Polyphonic music (music consisting of several instruments playing in parallel) is
an intuitive way of embedding multiple information streams. The different instruments in a …

The size and cost of electroencephalography (EEG) headsets have been decreasing at a
steadfast pace. Prefrontal cortical activity is a promising input source that is also important …

Introduction: A brain-computer interface (BCI) is a rapidly growing cutting-edge technology
in which a communication pathway is built between the human brain and computer. The BCI …

Neural correlates of intentionally induced human emotions may offer alternative imagery
strategies to control brain-computer interface (BCI) applications. In this paper, a novel BCI …