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

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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Bibliographic Details
Main Authors: Shuang Liu, Long Chen, Dongyue Guo, Xiaoya Liu, Yue Sheng, Yufeng Ke, Minpeng Xu, Xingwei An, Jiajia Yang, Dong Ming
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-06-01
Series:Frontiers in Human Neuroscience
Subjects:
emotion
electroencephalogram (EEG)
generalization
emotion recognition
day-to-day variations
Online Access:https://www.frontiersin.org/article/10.3389/fnhum.2018.00267/full

Internet

https://www.frontiersin.org/article/10.3389/fnhum.2018.00267/full

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