Comprehensive Analysis of Feature Extraction Methods for Emotion Recognition from Multichannel EEG Recordings

Comprehensive Analysis of Feature Extraction Methods for Emotion Recognition from Multichannel EEG Recordings

Advances in signal processing and machine learning have expedited electroencephalogram (EEG)-based emotion recognition research, and numerous EEG signal features have been investigated to detect or characterize human emotions. However, most studies in this area have used relatively small monocentric...

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Bibliographic Details
Main Authors: Rajamanickam Yuvaraj, Prasanth Thagavel, John Thomas, Jack Fogarty, Farhan Ali
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Sensors
Subjects:
EEG
emotion recognition
EEG feature extraction
valence
arousal
pattern recognition
Online Access:https://www.mdpi.com/1424-8220/23/2/915

Internet

https://www.mdpi.com/1424-8220/23/2/915

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