Multiple Transferable Recursive Feature Elimination Technique for Emotion Recognition Based on EEG Signals

Multiple Transferable Recursive Feature Elimination Technique for Emotion Recognition Based on EEG Signals

Feature selection plays a crucial role in analyzing huge-volume, high-dimensional EEG signals in human-centered automation systems. However, classical feature selection methods pay little attention to transferring cross-subject information for emotions. To perform cross-subject emotion recognition,...

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Bibliographic Details
Main Authors: Jiahui Cai, Wei Chen, Zhong Yin
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Symmetry
Subjects:
emotion recognition
effective computing
physiological signals
recursive feature elimination
EEG
Online Access:https://www.mdpi.com/2073-8994/11/5/683

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https://www.mdpi.com/2073-8994/11/5/683

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