Enhancing BCI-Based Emotion Recognition Using an Improved Particle Swarm Optimization for Feature Selection

Electroencephalogram (EEG) signals have been widely used in emotion recognition. However, the current EEG-based emotion recognition has low accuracy of emotion classification, and its real-time application is limited. In order to address these issues, in this paper, we proposed an improved feature s...

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Detalles Bibliográficos
Autores principales: Li, Zina, Qiu, Lina, Li, Ruixin, He, Zhipeng, Xiao, Jun, Liang, Yan, Wang, Fei, Pan, Jiahui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7309000/
https://www.ncbi.nlm.nih.gov/pubmed/32471047
http://dx.doi.org/10.3390/s20113028

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7309000/
https://www.ncbi.nlm.nih.gov/pubmed/32471047
http://dx.doi.org/10.3390/s20113028

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