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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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Detalhes bibliográficos
Publicado no:Front Hum Neurosci
Main Authors: Liu, Shuang, Chen, Long, Guo, Dongyue, Liu, Xiaoya, Sheng, Yue, Ke, Yufeng, Xu, Minpeng, An, Xingwei, Yang, Jiajia, Ming, Dong
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2018
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6036248/
https://ncbi.nlm.nih.gov/pubmed/30013470
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnhum.2018.00267
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