Four-Class Emotion Classification using Electrocardiography (ECG) in Virtual Reality (VR)
The main objective of this paper is to investigate if ECG signals can be utilized to classify emotions based on Russell's four-class circumplex emotion model in a VR environment using SVM classifiers. Electrocardiogram (ECG) signals were collected with a medical-grade wearable heart rate monito...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English English |
| Published: |
2020
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| Online Access: | https://eprints.ums.edu.my/id/eprint/25647/1/Four-Class%20Emotion%20Classification%20using%20Electrocardiography%20%28ECG%29%20in%20Virtual%20Reality%20%28VR%292.pdf https://eprints.ums.edu.my/id/eprint/25647/2/Four-Class%20Emotion%20Classification%20using%20Electrocardiography%20%28ECG%29%20in%20Virtual%20Reality%20%28VR%291.pdf |
Internet
https://eprints.ums.edu.my/id/eprint/25647/1/Four-Class%20Emotion%20Classification%20using%20Electrocardiography%20%28ECG%29%20in%20Virtual%20Reality%20%28VR%292.pdfhttps://eprints.ums.edu.my/id/eprint/25647/2/Four-Class%20Emotion%20Classification%20using%20Electrocardiography%20%28ECG%29%20in%20Virtual%20Reality%20%28VR%291.pdf