Emotion Recognition Based on Fusion of Local Cortical Activations and Dynamic Functional Networks Connectivity: An EEG Study

In this paper, we present a method to improve emotion recognition based on the fusion of local cortical activations and dynamic functional network patterns. We estimate the cortical activations using power spectral density (PSD) with the Burg autoregressive model. On the other hand, we estimate the...

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Detalles Bibliográficos

Principais autores:	Fares Al-Shargie, Usman Tariq, Meera Alex, Hasan Mir, Hasan Al-Nashash
Formato:	Artigo
Idioma:	Inglês
Publicado:	IEEE 2019-01-01
Series:	IEEE Access
Assuntos:	Emotion electroencephalogram (EEG) cortical activation functional connectivity network patterns fusion classification
Acceso en liña:	https://ieeexplore.ieee.org/document/8849985/
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