SAE+LSTM: A New Framework for Emotion Recognition From Multi-Channel EEG

EEG-based automatic emotion recognition can help brain-inspired robots in improving their interactions with humans. This paper presents a novel framework for emotion recognition using multi-channel electroencephalogram (EEG). The framework consists of a linear EEG mixing model and an emotion timing...

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Detalles Bibliográficos
Autores principales: Xing, Xiaofen, Li, Zhenqi, Xu, Tianyuan, Shu, Lin, Hu, Bin, Xu, Xiangmin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Robotics and AI
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6581731/
https://www.ncbi.nlm.nih.gov/pubmed/31244638
http://dx.doi.org/10.3389/fnbot.2019.00037

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6581731/
https://www.ncbi.nlm.nih.gov/pubmed/31244638
http://dx.doi.org/10.3389/fnbot.2019.00037

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