… emotion recognition based on physiological recordings, which may yield more objective
measures of the emotional … Furthermore, we focus on the analysis of emotions which are evoked …

… EEG signals due to their simplicity to analyze and good time and spatial resolution have …
most BCI applications such as emotion recognition. Also, EEG recording systems are cheap and …

… Emotiv EEG device is used for the data recording. The … emotion recognition on the benchmark
database DEAP. The mean accuracies of the emotion classification for up to 8 emotions …

… Their suitability for emotion recognition, … extraction methods for emotion recognition from
EEG based on 33 … , the recorded data set contains eight trials of 30s EEG recording for five …

… use of high-density electrodes, multiple sources of noise that can disrupt EEG recordings
arise, such as muscle activity near the active sites, eye movements and blinks. Eye movement …

… This FVS was expanded in [17] by fusing the features of physiological signals with those
derived from the respective EEG recordings. The statistical features used to form the proposed …

… Section III defines the different types of nonlinear indices used for emotion recognition with
EEG recordings. Section IV contains information about the survey procedure followed in this …

… ) and Electroencephalography (EEG). In this paper we focus on emotion detection using
EEG. … techniques can be used on the recorded EEG data to classify emotional states. K-Nearest …

… require emotional investigation. This paper proposes a novel method for human emotion
recognition using electroencephalogram (EEG) signals. We have considered three emotions …

… most comprehensive analysis of different EEG feature sets for emotion recognition to date
to determine which features are best for distinguishing emotional states, categorized in terms …