Incorporation of Multiple-Days Information to Improve the Generalization of EEG-Based Emotion Recognition Over Time

Current studies have got a series of satisfying accuracies in EEG-based emotion classification, but most of the classifiers used in previous studies are totally time-limited. To produce generalizable results, the emotion classifier should be stable over days, in which the day-to-day variations of EE...

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Detalles Bibliográficos
Autores principales: Liu, Shuang, Chen, Long, Guo, Dongyue, Liu, Xiaoya, Sheng, Yue, Ke, Yufeng, Xu, Minpeng, An, Xingwei, Yang, Jiajia, Ming, Dong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6036248/
https://www.ncbi.nlm.nih.gov/pubmed/30013470
http://dx.doi.org/10.3389/fnhum.2018.00267

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6036248/
https://www.ncbi.nlm.nih.gov/pubmed/30013470
http://dx.doi.org/10.3389/fnhum.2018.00267

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