A novel ensemble learning method using multiple objective particle swarm optimization for subject-independent EEG-based emotion recognition

Emotion recognition is a vital but challenging step in creating passive brain-computer interface applications. In recent years, many studies on electroencephalogram (EEG)-based emotion recognition have been conducted. Ensemble learning has been widely used in emotion recognition because of its super...

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Vydáno v:	Computers in biology and medicine Ročník 140; s. 105080
Hlavní autoři:	Li, Rui, Ren, Chao, Zhang, Xiaowei, Hu, Bin
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States Elsevier Ltd 01.01.2022 Elsevier Limited
Témata:	Accuracy Arousal Artificial intelligence Basic converters Brain Classification Classification schemes Computer applications Datasets Deep learning EEG Electroencephalography Emotion recognition Emotions Ensemble learning Feature extraction Feature selection Human-computer interface Implants Internal Medicine Learning Machine learning Multiple objective analysis Multiple objective particle swarm optimization Neural networks Optimization Other Particle swarm optimization Performance evaluation Physiology Regularization Researchers Support vector machines Windows (intervals) Emotion recognition Multiple objective particle swarm optimization Ensemble learning EEG
ISSN:	0010-4825, 1879-0534, 1879-0534
On-line přístup:	Získat plný text
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