Use of Differential Entropy for Automated Emotion Recognition in a Virtual Reality Environment with EEG Signals.

Emotion recognition is one of the most important issues in human-computer interaction (HCI), neuroscience, and psychology fields. It is generally accepted that emotion recognition with neural data such as electroencephalography (EEG) signals, functional magnetic resonance imaging (fMRI), and near-infrared spectroscopy (NIRS) is better than other emotion detection methods such as speech, mimics, body language, facial expressions, etc., in terms of reliability and accuracy.