Study on an effective cross-stimulus emotion recognition model using EEGs based on feature selection and support vector machine

Int. J. Machine Learning & Cybernetics, Volume 9, Issue 5, 2018, Pages 721-726.

Cited by: 1|Bibtex|Views9|DOI:https://doi.org/10.1007/s13042-016-0601-4
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Other Links: dblp.uni-trier.de|academic.microsoft.com|link.springer.com

Abstract:

Electroencephalographic (EEG)-based emotion recognition has received increasing attention in the field of human–computer interaction (HCI) recently, there however remain a number of challenges in building a generalized emotion recognition model, one of which includes the difficulty of an EEG-based emotion classifier trained on a specific ...More

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