Analyzing novice programmers' EEG signals using unsupervised algorithms

• Main Authors: Swansi, Vanlalhruaii, Herradura, Tita, Suarez, Merlin Teodosia
• Format: text
• Published: Animo Repository 2017
• Subjects: Electroencephalography; Emotions and cognition; Computer Sciences; Software Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/1278
• Institution: De La Salle University

Ten (10) first year college programming students participated in the study and reported their emotions during the learning session. Emotiv EPOC headset was used to gather EEG brainwave signals. Digital signal processing filtering technique was used to filter the data. The reported academic emotions...