Electroencephalograph-Based Emotion Recognition Using Brain Connectivity Feature and Domain Adaptive Residual Convolution Model

In electroencephalograph (EEG) emotion recognition research, obtaining high-level emotional features with more discriminative information has become the key to improving the classification performance. This study proposes a new end-to-end emotion recognition method based on brain connectivity (BC) f...

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Detalles Bibliográficos
Autores principales: Chen, Jingxia, Min, Chongdan, Wang, Changhao, Tang, Zhezhe, Liu, Yang, Hu, Xiuwen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9257260/
https://www.ncbi.nlm.nih.gov/pubmed/35812226
http://dx.doi.org/10.3389/fnins.2022.878146

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9257260/
https://www.ncbi.nlm.nih.gov/pubmed/35812226
http://dx.doi.org/10.3389/fnins.2022.878146

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