The role of data balancing for emotion classification using EEG signals

• Published in: International Conference on Digital Signal Processing proceedings pp. 555 - 559
• Main Authors: Torres Pereira, Eanes, Martins Gomes, Herman
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.10.2016
• Subjects: Affective Computing; EEG Signal; Electroencephalography; Imbalanced Datasets; Pattern Recognition

In this paper, we demonstrate the role of data balancing in experimental evaluation of emotion classification systems based on electroencephalogram (EEG) signals. ADASYN method was employed to create a balanced version of the DEAP EEG dataset. Experiments considered Support Vector Machine classifier...