Complexity and entropy analysis to improve gender identification from emotional-based EEGs

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Complexity and entropy analysis to improve gender identification from emotional-based EEGs

Investigating gender differences based on emotional changes becomes essential to understand various human behaviors in our daily life. Ten students from the University of Vienna have been recruited by recording the electroencephalogram (EEG) dataset while watching four short emotional video clips (a...

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Bibliographic Details
Main Authors:	Al-Qazzaz, Noor Kamal, Sabir, Mohannad K., Mohd Ali, Sawal Hamid, Ahmad, Siti Anom, Grammer, Karl
Format:	Article
Published:	Hindawi Publishing 2021
Online Access:	http://psasir.upm.edu.my/id/eprint/96484/

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