… emotion detection using EEG signals. To begin with we introduce the theories of emotion
classification, the types of EEG … (ie, EEG signals) and their relation with emotion analysis. We …

… classification by using electroencephalogram (EEG) is proposed in this paper. The data …
using EEG and the emotions are elicited from six human subjects under the effect of emotion …

… from Electroencephalogram (EEG) signals plays a vital role … (DNN) to address EEG-based
emotion recognition. This was … to identify human emotions of a given EEG signal (DEAP …

… Thus, it is now possible to use EEG-based emotion … recognizing emotions based on EEG
signals. Our analysis … to certain physiological signals (in our particular case, EEG signals). Thus…

… In this paper, we present human emotion assessment using electroencephalogram (EEG)
signals. The … are used to classify discrete emotions (happy, surprise, fear, disgust, and neutral). …

… Here in this paper we proposed an approach for discrete emotion recognition based on the
processing of EEG signals. On this research, that there is lack of international standard data …

… EEG records the electrical activity within the neurons of the brain. The main advantage of
using EEG signals is that it detects real emotions … EEG can act as real indicator of the emotion …

… EEG signals for emotion stimulation experiments. Assessing human emotions from EEG
signals is principally depends on the type of emotional stimuli used for inducing emotions. There …

… earlier works on emotion recognition using EEG signals in Table … In general, the assessment
of human emotions with greater … This study examines the impact of emotion on EEG signals …

… human identification using EEG signals. It has been shown that Electroencephalogram (EEG) …
However, since EEG signal is sensitive to emotion, the stability of reported features during …