Two-stepped majority voting for efficient EEG-based emotion classification
Abstract In this paper, a novel approach that is based on two-stepped majority voting is proposed for efficient EEG-based emotion classification. Emotion recognition is important for human–machine interactions. Facial features- and body gestures-based approaches have been generally proposed for emot...
Main Authors: | Aras M. Ismael, Ömer F. Alçin, Karmand Hussein Abdalla, Abdulkadir Şengür |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2020-09-01
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Series: | Brain Informatics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s40708-020-00111-3 |
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