Predicting game-induced emotions using EEG, data mining and machine learning

Background Emotion is a complex phenomenon that greatly affects human behavior and thinking in daily life. Electroencephalography (EEG), one of the human physiological signals, has been emphasized by most researchers in emotion recognition as its specific properties are closely associated with human...

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Veröffentlicht in:	Bulletin of the National Research Centre Jg. 48; H. 1; S. 57 - 10
Hauptverfasser:	Lim, Min Xuan, Teo, Jason
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2024 Springer Nature B.V SpringerOpen
Schlagworte:	Agriculture Algorithms Annotations Classification Classifiers Computer & video games Data acquisition Data mining Data processing Datasets EEG EEG-based emotion recognition Electroencephalography Emotion recognition Emotional factors Emotions Engineering Feature extraction Game-induced EEG Humanities and Social Sciences Machine learning Molecular Biology and Biotechnology multidisciplinary Performance evaluation Science Science (multidisciplinary) Support vector machines Data mining Game-induced EEG EEG-based emotion recognition Machine learning
ISSN:	2522-8307, 2522-8307
Online-Zugang:	Volltext
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