Human emotion classification based on multiple physiological signals by wearable system

BACKGROUND: Human emotion classification is traditionally achieved using multi-channel electroencephalogram (EEG) signal, which requires costly equipment and complex classification algorithms. OBJECTIVE: The experiments can be implemented in the laboratory environment equipped with high-performance...

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Detalles Bibliográficos
Autores principales: Liu, Xin, Wang, Qisong, Liu, Dan, Wang, Yuan, Zhang, Yan, Bai, Ou, Sun, Jinwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IOS Press 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6004961/
https://www.ncbi.nlm.nih.gov/pubmed/29758969
http://dx.doi.org/10.3233/THC-174747

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6004961/
https://www.ncbi.nlm.nih.gov/pubmed/29758969
http://dx.doi.org/10.3233/THC-174747

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