K-means Clustering Analysis for EEG Features of Situational Interest Detection in Classroom Learning
This paper proposes a method to detect situational interest in classroom learning using k-means algorithms. The developed algorithm in this paper had been tested on features from ten students who experienced mathematics learning in a classroom. The subjects were given 21Â min of Laplace lecture pres...
Saved in:
| Main Authors: | Othman, E.S., Faye, I., Babiker, A., Hussaan, A.M. |
|---|---|
| Format: | Conference or Workshop Item |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.29304 / |
| Published: |
Springer Science and Business Media B.V.
2021
|
| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123276466&doi=10.1007%2f978-981-16-4513-6_47&partnerID=40&md5=3f4c92f3574e9582beb6ff78b4a0ec4d http://eprints.utp.edu.my/29304/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Automatic Clustering of Students by Level of Situational Interest Based on Their EEG Features
by: Othman, E.S., et al.
Published: (2022) -
EEG in classroom: EMD features to detect situational interest of students during learning
by: Babiker, A., et al.
Published: (2019) -
EMPIRICAL MODE DECOMPOSITION BASED WAVELET ENERGY FOR
DETECTION OF SITUATIONAL INTEREST IN MATHEMATICS CLASSROOM
USING EEG
by: BABIKER, AREEJ BABIKER IDRIS
Published: (2019) -
Investigation of situational interest effects on learning using physiological sensors: Preliminary result
by: Babiker, A., et al.
Published: (2017) -
Towards detection of interest using physiological sensors
by: Babiker, A., et al.
Published: (2021)