Electroencephalography (EEG) signals can be used for emotion recognition (ER), which is
an effective method for determining someone's mental state. However, because an EEG …

Emotion can be defined as a voluntary or involuntary reaction to external factors. People
express their emotions through actions, such as words, sounds, facial expressions, and …

Background It is far more appealing to use biological brain signals to determine human
emotions. For measuring brain activity, electroencephalography (EEG) is a reliable and …

Human emotions are the mind's responses to external stimuli, and due to their dynamic and
unpredictable nature, research in this field has become increasingly important. There is a …

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 …

Throughout the years, major advancements have been made in the field of EEG-based
emotion classification. Implementing deep architectures for supervised and unsupervised …

Classification of human emotions via EEG signals is a hot topic today. In this study, a method
for feature extraction from EEG signals is presented. It is applied for the first time on the …

Emotion and feelings are recently becoming popular concepts in the everyday life. It not only
affects human health but also plays an essential role in the decision-making processes. For …

In disciplines including medicine, psychology, and human-computer interaction,
understanding and interpreting human emotions is crucial. Emotion analysis that is accurate …

Emotion recognition from electroencephalogram (EEG) signals is one of the important real
time applications in Brain-Computer Interface (BCI). The proposed research addresses the …