Philippine Journal of Science
152 (4): 1507-1516, August 2023
ISSN 0031 – 7683
Date Received: 25 Jan 2022

Exploring the Relationship between EEG Features
of Basic and Academic Emotions

Tita R. Herradura1,2* and Macario O. Cordel II2

1College of Science and Computer Studies, De La Salle University Dasmarińas,
City of Dasmarińas, Cavite 4115 Philippines
2College of Computer Studies, De La Salle University, Manila 0922 Philippines

*Corresponding author: trherradura@dlsud.edu.ph

[Download]
Herradura T, Cordel M. 2023. Exploring the Relationship between EEG
Features of Basic and Academic Emotions. Philipp J Sci 152(4): 1507–1516.
https://doi.org/10.56899/152.04.19

 

ABSTRACT

This study aimed to explore the relationship between basic and academic emotions by analyzing their EEG patterns. Using MAHNOB-HCI (MH) and Academic Emotion (AE) datasets, we performed three experiments based on valence and discrete emotion models. Our analysis revealed no similarity between the valence of basic and academic emotion datasets. However, we found that three out of 84 features in the MH discrete emotion dataset had a statistically significant relationship with the AE frustration dataset, suggesting some commonality between basic and academic emotions, particularly in the case of frustration. We also used random forest (RF), multilayer perceptron (MLP), and support vector machine (SVM) models to validate our findings, with the RF model outperforming the others in terms of valence classification accuracy. Our study provides valuable insights into the relationship between basic and academic emotions and may inform future research in this area.