Emotion recognition with deep learning using GAMEEMO data set

Emotion recognition is actively used in brain–computer interface, health care, security, e-commerce, education and entertainment applications to increase and control human–machine interaction. Therefore, emotions affect people's lives and decision-making mechanisms throughout their lives. Howev...

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Veröffentlicht in:	Electronics letters Jg. 56; H. 25; S. 1364 - 1367
Hauptverfasser:	Alakus, T. B, Turkoglu, I
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	The Institution of Engineering and Technology 10.12.2020
Schlagworte:	abstract concept brain–computer interface decision making deep learning education EEG signals electroencephalography electroencephalography signals emotion analysis emotion recognition entertainment applications entropy GAMEEMO data set health care human computer interaction human–machine interaction internal factors learning (artificial intelligence) medical signal processing negative emotions positive emotions Special Issue: Current Trends in Cognitive Science and Brain Computing Research and Applications electroencephalography education electroencephalography signals negative emotions GAMEEMO data set brain–computer interface emotion recognition abstract concept medical signal processing internal factors deep learning entertainment applications entropy emotion analysis decision making human computer interaction human–machine interaction EEG signals learning (artificial intelligence) positive emotions health care
ISSN:	0013-5194, 1350-911X, 1350-911X
Online-Zugang:	Volltext
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