Electroencephalogram profiles for emotion identification over the brain regions using spectral, entropy and temporal biomarkers
Identifying emotions has become essential for comprehending varied human behavior during our daily lives. The electroencephalogram (EEG) has been adopted for eliciting information in terms of waveform distribution over the scalp. The rationale behind this work is twofold. First, it aims to propose s...
Saved in:
Main Authors: | Al-Qazzaz, Noor Kamal, Sabir, Mohannad K., Md. Ali, Sawal Hamid, Ahmad, Siti Anom, Grammer, Karl |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI
2020
|
Online Access: | http://psasir.upm.edu.my/id/eprint/38199/1/38199.pdf http://psasir.upm.edu.my/id/eprint/38199/ https://www.mdpi.com/1424-8220/20/1/59 |
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) -
Effective EEG channels for emotion identification over the brain regions using differential evolution algorithm
by: Al-Qazzaz, Noor Kamal, et al.
Published: (2019) -
Complexity and entropy analysis to improve gender identification from 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) -
Emotion recognition using electroencephalogram signal
by: Mohammad Yosi, Aqila Nur Nadira, et al.
Published: (2019)