Automatic Clustering of Students by Level of Situational Interest Based on Their EEG Features
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...
| Main Authors: | Othman, E.S., Faye, I., Hussaan, A.M. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.28944 / |
| Published: |
MDPI
2022
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| 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/ |
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