Two-stepped majority voting for efficient EEG-based emotion classification

In this paper, a novel approach that is based on two-stepped majority voting is proposed for efficient EEG-based emotion classification. Emotion recognition is important for human–machine interactions. Facial features- and body gestures-based approaches have been generally proposed for emotion recog...

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Detalles Bibliográficos
Autores principales: Ismael, Aras M., Alçin, Ömer F., Abdalla, Karmand Hussein, Şengür, Abdulkadir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7498529/
https://www.ncbi.nlm.nih.gov/pubmed/32940803
http://dx.doi.org/10.1186/s40708-020-00111-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7498529/
https://www.ncbi.nlm.nih.gov/pubmed/32940803
http://dx.doi.org/10.1186/s40708-020-00111-3

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