Sparse Logistic Regression With L(1/2) Penalty for Emotion Recognition in Electroencephalography Classification

Emotion recognition based on electroencephalography (EEG) signals is a current focus in brain-computer interface research. However, the classification of EEG is difficult owing to large amounts of data and high levels of noise. Therefore, it is important to determine how to effectively extract featu...

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Detalles Bibliográficos
Autores principales: Chen, Dong-Wei, Miao, Rui, Deng, Zhao-Yong, Lu, Yue-Yue, Liang, Yong, Huang, Lan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7427509/
https://www.ncbi.nlm.nih.gov/pubmed/32848688
http://dx.doi.org/10.3389/fninf.2020.00029

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7427509/
https://www.ncbi.nlm.nih.gov/pubmed/32848688
http://dx.doi.org/10.3389/fninf.2020.00029

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