From Intricacy to Conciseness: A Progressive Transfer Strategy for EEG-Based Cross-Subject Emotion Recognition.

Cai, Ziliang; Wang, Lingyue; Guo, Miaomiao; Xu, Guizhi; Guo, Lei; Li, Ying

Cai, Ziliang; Wang, Lingyue; Guo, Miaomiao; Xu, Guizhi; Guo, Lei; Li, Ying.

Afiliación

Cai Z; State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300401, P. R. China.
Wang L; State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300401, P. R. China.
Guo M; State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300401, P. R. China.
Xu G; State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300401, P. R. China.
Guo L; State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300401, P. R. China.
Li Y; State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300401, P. R. China.

Int J Neural Syst ; 32(3): 2250005, 2022 Mar.

Article en En | MEDLINE | ID: mdl-35023812

Asunto(s)

Algoritmos; Electroencefalografía; Bases de Datos Factuales; Electroencefalografía/métodos; Emociones; Humanos; Aprendizaje

Palabras clave

BCI; EEG-based emotion recognition; domain adaptation; semi-supervised learning

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Electroencefalografía Límite: Humans Idioma: En Revista: Int J Neural Syst Asunto de la revista: ENGENHARIA BIOMEDICA / INFORMATICA MEDICA Año: 2022 Tipo del documento: Article Pais de publicación: Singapur

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