Improving Cross-Day EEG-Based Emotion Classification Using Robust Principal Component Analysis

Constructing a robust emotion-aware analytical framework using non-invasively recorded electroencephalogram (EEG) signals has gained intensive attentions nowadays. However, as deploying a laboratory-oriented proof-of-concept study toward real-world applications, researchers are now facing an ecologi...

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Detalles Bibliográficos
Autores principales: Lin, Yuan-Pin, Jao, Ping-Keng, Yang, Yi-Hsuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5515900/
https://www.ncbi.nlm.nih.gov/pubmed/28769778
http://dx.doi.org/10.3389/fncom.2017.00064

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5515900/
https://www.ncbi.nlm.nih.gov/pubmed/28769778
http://dx.doi.org/10.3389/fncom.2017.00064

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