Dual-Threshold-Based Microstate Analysis on Characterizing Temporal Dynamics of Affective Process and Emotion Recognition From EEG Signals

Dual-Threshold-Based Microstate Analysis on Characterizing Temporal Dynamics of Affective Process and Emotion Recognition From EEG Signals

Recently, emotion classification from electroencephalogram (EEG) data has attracted much attention. As EEG is an unsteady and rapidly changing voltage signal, the features extracted from EEG usually change dramatically, whereas emotion states change gradually. Most existing feature extraction approa...

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Bibliographic Details
Main Authors: Jing Chen, Haifeng Li, Lin Ma, Hongjian Bo, Frank Soong, Yaohui Shi
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-07-01
Series:Frontiers in Neuroscience
Subjects:
EEG
dual-threshold-based AAHC
microstate characteristics
auditory emotion process
emotion recognition
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2021.689791/full

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https://www.frontiersin.org/articles/10.3389/fnins.2021.689791/full

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