… Emotion recognition based on EEG signals has a broad … drivers' emotional conditions by
analyzing their EEG signals in … progress of emotion recognition based on EEG signals. The …

… emotion detection using EEG signals. To begin with we introduce the theories of emotion
classification, the types of EEG … One study [81] found that the most reliable electrode positions …

… in emotion recognition such as emotion paradigms, EEG and its … have used EEG signals
differently in emotion recognition [58, 59… to the use of only EEG signals in emotions recognition. …

… of DL techniques in emotion recognition from EEG signals and … challenges in emotion
recognition using EEG signals, … employed in the study of emotions are emotion-based and …

… advances in the EEG-based emotion recognition research, we … the scientific basis of
EEG-based emotion recognition in the … It is challenging to represent the emotional EEG signals …

… Our analysis of these studies shows the scientific nature of the emotion classification study's
research through EEG signals. This paper introduces experimental and standard datasets …

… This work reviews emotion recognition advances using EEG signals and BCI to (1) identify
trends in algorithm usage and technology, (2) detect potential errors that must be overcome …

… an automated model for identifying emotions based on EEG signals. The proposed model
… EEG data can be extracted using different systems or devices. In this study, a DEAP dataset …

… preprocessing methods are included in this study. Also included feature extraction and
feature selection methods. In addition, the included studies were divided into two types: i)deep …

… survey of the EEG-based neurophysiological research from 2012 to 2018, providing details
of the work done in emotion recognition. … relation between EEG data and the emotional states …