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Topological EEG Nonlinear Dynamics Analysis for Emotion Recognition
[article]
2022
arXiv
pre-print
Emotional recognition through exploring the electroencephalography (EEG) characteristics has been widely performed in recent studies. Nonlinear analysis and feature extraction methods for understanding the complex dynamical phenomena are associated with the EEG patterns of different emotions. The phase space reconstruction is a typical nonlinear technique to reveal the dynamics of the brain neural system. Recently, the topological data analysis (TDA) scheme has been used to explore the
arXiv:2203.06895v1
fatcat:d6baepxbffderes6ipdipb2yjm