Assessment of the cognitive functions and state of clinical subjects is an important aspect of
e-health care delivery, and in the development of novel human-machine interfaces. A …

Many studies suggest that EEG signals provide enough information for the detection of
human emotions with feature based classification methods. However, very few studies have …

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 …

Recent developments and studies in brain-computer interface (BCI) technologies have
facilitated emotion detection and classification. Many BCI studies have sought to investigate …

Emotions are fundamental for human beings and play an important role in human cognition.
Emotion is commonly associated with logical decision making, perception, human …

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 …

Emotion recognition has become a very controversial issue in brain-computer interfaces
(BCIs). Moreover, numerous studies have been conducted in order to recognize emotions …

There are several ways of recording psychophysiology data from humans, for example
Galvanic Skin Response (GSR), Electromyography (EMG), Electrocardiogram (ECG) and …

EEG-based emotion recognition is a challenging and active research area in affective
computing. We used three-dimensional (arousal, valence and dominance) model of emotion …

Many scientific studies have been concerned with building an automatic system to recognize
emotions, and building such systems usually relies on brain signals. These studies have …