Swarm Intelligence-Based Feature Selection Algorithm of EEG Classification for Brain Emotion Detection: A Review

In recent technology, Brain Computer Interfacing (BCI) plays a prominent role through which a human can interact with the outside world using brain signals. Brain signals are the current reactions in the brain when neurological activity occurs and are closely associated with critical thinking, logical decision-making, recognition, human interaction, and to some extent, Human Intelligence. Brain waves influence most real human body reactions; compared to other types of emotion analysis, brain wave emotion analysis comes out on top. Emotion Detection has a broad perspective in interdisciplinary research for neurologists, psychologists, engineers, etc. This paper aims to represent the latest comprehensive review of emotion detection techniques using Electroencephalography (EEG) Signals, feature extraction, feature selection, and classification, along with pointing out existing problems in the field and potential growth areas.