A systematic literature review of emotion recognition using EEG signals

In this study, we conducted a systematic literature review of 107 primary studies conducted between 2017 and 2023 to discern trends in datasets, classifiers, and contributions to human emotion recognition using EEG signals. We identified DEAP (43%), SEED (29%), DREAMER (8%), and SEED-IV (5%) as the...

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Veröffentlicht in:	Cognitive systems research Jg. 82; S. 101152
Hauptverfasser:	Prabowo, Dwi Wahyu, Nugroho, Hanung Adi, Setiawan, Noor Akhmad, Debayle, Johan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.12.2023 Elsevier
Schlagworte:	Artificial Intelligence Chemical and Process Engineering Classifier Computer Science Dataset EEG signals Emotion recognition Engineering Sciences Feature extraction Human-Computer Interaction Neural and Evolutionary Computing Research contribution Emotion recognition Feature extraction EEG signals Classifier Dataset Research contribution
ISSN:	1389-0417, 1389-0417
Online-Zugang:	Volltext
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