Four-class emotion classification in virtual reality using pupillometry
Background: Emotion classifcation remains a challenging problem in afective computing. The large majority of emotion classifcation studies rely on electroencephalography (EEG) and/or electrocardiography (ECG) signals and only classifes the emotions into two or three classes. Moreover, the stimuli us...
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| 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/26209/1/Four.pdf https://eprints.ums.edu.my/id/eprint/26209/2/s40537-020-00322-9.pdf https://eprints.ums.edu.my/id/eprint/26209/ https://doi.org/10.1186/s40537-020-00322-9 |
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| Institution: | Universiti Malaysia Sabah |
| Language: | English English |