Brain-Computer Interface (BCI) is an advanced and multidisciplinary active research domain
based on neuroscience, signal processing, biomedical sensors, hardware, etc. Since the …

Emotions are closely related to human behavior, family, and society. Changes in emotions
can cause differences in electroencephalography (EEG) signals, which show different …

Emotion is a significant parameter in daily life and is considered an important factor for
human interactions. The human-machine interactions and their advanced stages like …

Deep learning (DL) technologies have recently shown great potential in emotion recognition
based on electroencephalography (EEG). However, existing DL-based EEG emotion …

The present study shows new findings that reveal the high association between emotional
arousal and neuro-functional brain connectivity measures. For this purpose, contrasting …

Emotions are a mental state that is accompanied by a distinct physiologic rhythm, as well as
physical, behavioral, and mental changes. In the latest days, physiological activity has been …

The application of electroencephalogram (EEG)-based emotion recognition (ER) to the brain–
computer interface (BCI) has become increasingly popular over the past decade. Emotion …

Recently, emotion recognition technology based on electroencephalogram (EEG) signals is
widely used in areas such as human–computer interaction and disease diagnosis …

Electroencephalogram (EEG) based emotional analysis has been employed in medical
science, security and human–computer interaction with good success. In the recent past …

In the previous decade, breakthroughs in the central nervous system bioinformatics and
computational innovation have prompted significant developments in brain–computer …