Parameter tuning for enhancing inter-subject emotion classification in four classes for vr-eeg predictive analytics
The following research describes the potential in classifying emotions using wearable EEG headset while using a virtual environment to stimulate the responses of the users. Current developments on emotion classification have always steered towards the use of a clinical-grade EEG headset with a 2D mo...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
2020
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| Subjects: | |
| Online Access: | https://eprints.ums.edu.my/id/eprint/25668/1/Parameter%20tuning%20for%20enhancing%20inter-subject%20emotion%20classification%20in%20four%20classes%20for%20vr-eeg%20predictive%20analytics.pdf |