Recognition of Emotions Using Multichannel EEG Data and DBN-GC-Based Ensemble Deep Learning Framework

Fusing multichannel neurophysiological signals to recognize human emotion states becomes increasingly attractive. The conventional methods ignore the complementarity between time domain characteristics, frequency domain characteristics, and time-frequency characteristics of electroencephalogram (EEG...

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Detalles Bibliográficos
Autores principales: Chao, Hao, Zhi, Huilai, Dong, Liang, Liu, Yongli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6311795/
https://www.ncbi.nlm.nih.gov/pubmed/30647727
http://dx.doi.org/10.1155/2018/9750904

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6311795/
https://www.ncbi.nlm.nih.gov/pubmed/30647727
http://dx.doi.org/10.1155/2018/9750904

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