Pushing the boundaries of EEG-based emotion classification using consumer-grade wearable brain-computer interfacing devices and ensemble classifiers
Emotion classification using features derived from electroencephalography (EEG) is currently one of the major research areas in big data. Although this area of research is not new, the current challenge is now to move from medical-grade EEG acquisition devices to consumer-grade EEG devices. The over...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IJAST
2020
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| Subjects: | |
| Online Access: | https://eprints.ums.edu.my/id/eprint/25709/1/Pushing%20the%20boundaries%20of%20EEG-based%20emotion%20classification%20using%20consumer-grade%20wearable%20brain-computer%20interfacing%20devices%20and%20ensemble%20classifiers.pdf |