EEG-Based Emotion Recognition Using an Improved Weighted Horizontal Visibility Graph.

Kong, Tianjiao; Shao, Jie; Hu, Jiuyuan; Yang, Xin; Yang, Shiyiling; Malekian, Reza

Kong, Tianjiao; Shao, Jie; Hu, Jiuyuan; Yang, Xin; Yang, Shiyiling; Malekian, Reza.

Afiliación

Kong T; College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
Shao J; Key Laboratory of Underwater Acoustic Signal Processing, Ministry of Education, Southeast University, Nanjing 210096, China.
Hu J; College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
Yang X; Key Laboratory of Underwater Acoustic Signal Processing, Ministry of Education, Southeast University, Nanjing 210096, China.
Yang S; College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
Malekian R; Key Laboratory of Underwater Acoustic Signal Processing, Ministry of Education, Southeast University, Nanjing 210096, China.

Sensors (Basel) ; 21(5)2021 Mar 07.

Article en En | MEDLINE | ID: mdl-33800116

Asunto(s)

Electroencefalografía; Emociones; Nivel de Alerta; Visualización de Datos; Humanos

Palabras clave

EEG; directed weighted horizontal visibility graph; emotion recognition; feature fusion

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Electroencefalografía / Emociones Límite: Humans Idioma: En Revista: Sensors (Basel) Año: 2021 Tipo del documento: Article País de afiliación: China

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