Multi-subject subspace alignment for non-stationary EEG-based emotion recognition

Emotion recognition based on EEG signals is a critical component in Human-Machine collaborative environments and psychiatric health diagnoses. However, EEG patterns have been found to vary across subjects due to user fatigue, different electrode placements, and varying impedances, etc. This problem...

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Detalles Bibliográficos
Autores principales: Chai, Xin, Wang, Qisong, Zhao, Yongping, Liu, Xin, Liu, Dan, Bai, Ou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IOS Press 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6004980/
https://www.ncbi.nlm.nih.gov/pubmed/29758967
http://dx.doi.org/10.3233/THC-174739

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6004980/
https://www.ncbi.nlm.nih.gov/pubmed/29758967
http://dx.doi.org/10.3233/THC-174739

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