EEG-Based Emotion Recognition by Retargeted Semi-Supervised Regression with Robust Weights

The electroencephalogram (EEG) can objectively reflect the emotional state of human beings, and has attracted much attention in the academic circles in recent years. However, due to its weak, non-stationary, and low signal-to-noise properties, it is inclined to cause noise in the collected EEG data....

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書誌詳細

主要な著者:	Ziyuan Chen, Shuzhe Duan, Yong Peng
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2022-11-01
シリーズ:	Systems
主題:	electroencephalogram (EEG) robustness semi-supervised classification emotion recognition emotional activation pattern mining
オンライン･アクセス:	https://www.mdpi.com/2079-8954/10/6/236
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