Brain Computer Interface based EEG for Emotion Recognition System: A Systematic Review

摘要

Currently the Brain-Compute Interface (BCI) is an outstanding research area where the goal is to create an interaction channel between system and person brain. It provides direct way to transform brainwaves into physical effects without using muscles. It presents an auspicious technology which granting individuals to deal with extraneous instruments through managing their brain signals. In this technology the noninvasive BCI technique that is electroencephalography plays a vital role for acquisition of brain signals and developing Emotion Recognition System. The Emotions are very important in our life for interaction, decision handling and cognitive process. This paper contains types of BCI system, it also explored to neuro imaging techniques for acquisition of brain signals, basic functioning of brain and comprehensive survey on EEG–Based BCI system for human emotion recognition. Various classification techniques are available for emotion classifications but among these support vector machine classification techniques is most preferred by the various researchers for analyzing the emotions.