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...
Saved in:
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/ https://www.hindawi.com/journals/jhe/2021/8537000/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Multichannel optimization with hybrid spectral- entropy markers for gender identification enhancement of emotional-based EEGs
by: Al-Qazzaz, Noor Kamal, et al.
Published: (2021) -
Spectro-spatial profile for gender identification using emotional-based EEG Signals
by: Al-Qazzaz, Noor Kamal, et al.
Published: (2021) -
Electroencephalogram profiles for emotion identification over the brain regions using spectral, entropy and temporal biomarkers
by: Al-Qazzaz, Noor Kamal, et al.
Published: (2020) -
Effective EEG channels for emotion identification over the brain regions using differential evolution algorithm
by: Al-Qazzaz, Noor Kamal, et al.
Published: (2019) -
Analysis of the Influence of Complexity and Entropy of Odorant on Fractal Dynamics and Entropy of EEG Signal
by: Namazi, Hamidreza Reza, et al.
Published: (2016)