Cross-Subject EEG Feature Selection for Emotion Recognition Using Transfer Recursive Feature Elimination

Using machine-learning methodologies to analyze EEG signals becomes increasingly attractive for recognizing human emotions because of the objectivity of physiological data and the capability of the learning principles on modeling emotion classifiers from heterogeneous features. However, the conventi...

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Udgivet i:Front Neurorobot
Main Authors: Yin, Zhong, Wang, Yongxiong, Liu, Li, Zhang, Wei, Zhang, Jianhua
Format: Artigo
Sprog:Inglês
Udgivet: Frontiers Media S.A. 2017
Fag:
Neuroscience
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5385370/
https://ncbi.nlm.nih.gov/pubmed/28443015
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnbot.2017.00019
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