FCAN–XGBoost: A Novel Hybrid Model for EEG Emotion Recognition

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...

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Detalles Bibliográficos
Autores principales: Zong, Jing, Xiong, Xin, Zhou, Jianhua, Ji, Ying, Zhou, Diao, Zhang, Qi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10304516/
https://www.ncbi.nlm.nih.gov/pubmed/37420845
http://dx.doi.org/10.3390/s23125680

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10304516/
https://www.ncbi.nlm.nih.gov/pubmed/37420845
http://dx.doi.org/10.3390/s23125680

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