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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Vydáno v:Front Neurorobot
Hlavní autoři: Yin, Zhong, Wang, Yongxiong, Liu, Li, Zhang, Wei, Zhang, Jianhua
Médium: Artigo
Jazyk:Inglês
Vydáno: Frontiers Media S.A. 2017
Témata:
Neuroscience
On-line přístup: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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