Automatic Clustering of Students by Level of Situational Interest Based on Their EEG Features

• Main Authors: Othman, E.S., Faye, I., Hussaan, A.M.
• Format: Article
• Published: MDPI 2022
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122092200&doi=10.3390%2fapp12010389&partnerID=40&md5=4675b933ae7cf13b49d306c0ebf06128; http://eprints.utp.edu.my/28944/
• Institution: Universiti Teknologi Petronas

The usage of physiological measures in detecting student�s interest is often said to improve the weakness of psychological measures by decreasing the susceptibility of subjective bias. The existing methods, especially EEG�based, use classification, which needs a predefined class and complex comp...