Improving Automatic Recognition of Emotional States Using EEG Data Augmentation Techniques
Emotion recognition is crucial for improving communication between humans and computers. Electroencephalography (EEG) signals can be used for this purpose, but the limited amount of available EEG data poses challenges in creating accurate classification models, particularly when using deep machine l...
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Published in | Procedia computer science Vol. 225; pp. 4225 - 4234 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
2023
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Subjects | |
Online Access | Get full text |
ISSN | 1877-0509 1877-0509 |
DOI | 10.1016/j.procs.2023.10.419 |
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