Attention-based multi-semantic dynamical graph convolutional network for eeg-based fatigue detection.

Liu, Haojie; Liu, Quan; Cai, Mincheng; Chen, Kun; Ma, Li; Meng, Wei; Zhou, Zude; Ai, Qingsong

Liu, Haojie; Liu, Quan; Cai, Mincheng; Chen, Kun; Ma, Li; Meng, Wei; Zhou, Zude; Ai, Qingsong.

Afiliación

Liu H; School of Information Engineering, Wuhan University of Technology, Wuhan, Hubei, China.
Liu Q; School of Information Engineering, Wuhan University of Technology, Wuhan, Hubei, China.
Cai M; School of Information Engineering, Wuhan University of Technology, Wuhan, Hubei, China.
Chen K; School of Information Engineering, Wuhan University of Technology, Wuhan, Hubei, China.
Ma L; School of Information Engineering, Wuhan University of Technology, Wuhan, Hubei, China.
Meng W; School of Information Engineering, Wuhan University of Technology, Wuhan, Hubei, China.
Zhou Z; School of Information Engineering, Wuhan University of Technology, Wuhan, Hubei, China.
Ai Q; School of Information Engineering, Wuhan University of Technology, Wuhan, Hubei, China.

Front Neurosci ; 17: 1275065, 2023.

Article en En | MEDLINE | ID: mdl-38075265

Palabras clave

EEG; channel attention mechanism; driving fatigue detection; graph convolutional network; spatial attention mechanism

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Neurosci Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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