Cargando…
Valence-arousal classification of emotion evoked by Chinese ancient-style music using 1D-CNN-BiLSTM model on EEG signals for college students
During the COVID-19 pandemic, young people are using multimedia content more frequently to communicate with each other on Internet platforms. Among them, music, as psychological support for a lonely life in this special period, is a powerful tool for emotional self-regulation and getting rid of lone...
Autores principales: | Du, Ruoyu, Zhu, Shujin, Ni, Huangjing, Mao, Tianyi, Li, Jiajia, Wei, Ran |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9530425/ https://www.ncbi.nlm.nih.gov/pubmed/36213341 http://dx.doi.org/10.1007/s11042-022-14011-7 |
Ejemplares similares
-
Predicting Geolocation of Tweets: Using Combination of CNN and BiLSTM
por: Mahajan, Rhea, et al.
Publicado: (2021) -
ECG signal classification based on deep CNN and BiLSTM
por: Cheng, Jinyong, et al.
Publicado: (2021) -
Aeroengine Working Condition Recognition Based on MsCNN-BiLSTM
por: Zheng, Jinsong, et al.
Publicado: (2022) -
Emotion Analysis Model of Microblog Comment Text Based on CNN-BiLSTM
por: Li, Aichuan, et al.
Publicado: (2022) -
Network Intrusion Detection Method Combining CNN and BiLSTM in Cloud Computing Environment
por: Gao, Jing
Publicado: (2022)