FCAN-XGBoost: A Novel Hybrid Model for EEG Emotion Recognition
FCAN-XGBoost: A Novel Hybrid Model for EEG Emotion Recognition
About this item
Full title
Author / Creator
Zong, Jing , Xiong, Xin , Zhou, Jianhua , Ji, Ying , Zhou, Diao and Zhang, Qi
Publisher
Switzerland: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Switzerland: MDPI AG
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More information
Scope and Contents
Contents
In recent years, artificial intelligence (AI) technology has promoted the development of electroencephalogram (EEG) emotion recognition. However, existing methods often overlook the computational cost of EEG emotion recognition, and there is still room for improvement in the accuracy of EEG emotion recognition. In this study, we propose a novel EEG...
Alternative Titles
Full title
FCAN-XGBoost: A Novel Hybrid Model for EEG Emotion Recognition
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_a1768091edb7477b943fb41a94cfa8a9
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a1768091edb7477b943fb41a94cfa8a9
Other Identifiers
ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s23125680
