Emotion identification by dynamic entropy and ensemble learning from electroencephalogram signals

Emotions are biologically based psychological states brought on by neurophysiologic changes, variously associated with thoughts, feelings, behavioral responses, and a degree of pleasure or displeasure. In order to assure active collaboration and trigger appropriate emotional input, accurate identifi...

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Veröffentlicht in:	International journal of imaging systems and technology 2022-01, Vol.32 (1), p.402-413
Hauptverfasser:	Ashokkumar, S. R., Anupallavi, S., MohanBabu, G., Premkumar, M., Jeevanantham, V.
Format:	Artikel
Sprache:	eng
Schlagworte:	dynamic entropy EEG Electroencephalography emotion Emotion recognition Emotions Ensemble learning Entropy recurrent neural network Recurrent neural networks
Online-Zugang:	Volltext
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