EEG-based emotion analysis using non-linear features and ensemble learning approaches

Recognition of emotions based on electroencephalography (EEG) has become one of the most emerging topics for healthcare, education system, knowledge sharing, gaming, and many other fields in the last few decades. This paper proposes three non-linear features (Higuchi