Selective prediction of student emotions based on unusually strong EEG signals

• Main Authors: Azcarraga, Judith Jumig, Marcos, Nelson, Azcarraga, Arnulfo P., Hayashi, Yoichi
• Format: text
• Published: Animo Repository 2015
• Subjects: Electroencephalography; Emotions and cognition; Computer Sciences
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/1279
• Institution: De La Salle University

With an electroencephalogram (EEG) sensor mounted on their head while learning mathematics using two computer-based learning software, EEG signals were collected from fifty six (56) academically-gifted students of ages 11 to 14. The EEG signals are used to predict four academic emotions, namely frus...