Building an improved emotion recognition system for affective learning via brainwaves signals

• Main Authors: Berin, Joshua-Mari, King, Mark Kevin W.
• Format: text
• Language: English
• Published: Animo Repository 2014
• Subjects: Electroencephalography; Theta rhythm; Fourier transformations; Artificial Intelligence and Robotics; Computer Sciences
• Online Access: https://animorepository.dlsu.edu.ph/etd_bachelors/5559
• Institution: De La Salle University

Multiple studies show that emotions can be extracted from Electroencephalogram (EEG) signals. In order to achieve a high recognition rate, feature extraction techniques must be properly applied when working with brainwave signals. Of these techniques, the more commonly used are statistical features...