Abstract
EEG-based Emotion Recognition is regarded as a new field of affective computing researching, though presenting many challenging issues concerning the manner how emotions are elicited, and the different techniques used for features extraction and their ability to achieve high classification performance. This article reviews the Emotion Recognition techniques applied and developed recently. In general terms, emotion evocation based on audio-visual stimuli, features extraction techniques and classifiers are surveyed in the field of Emotion Recognition. A comparative table of recent researches is also conducted. Based on a discussion of previous studies, our proposed architecture is presented as future work.