Cargando…
Deep learning-based EEG emotion recognition: Current trends and future perspectives
Automatic electroencephalogram (EEG) emotion recognition is a challenging component of human–computer interaction (HCI). Inspired by the powerful feature learning ability of recently-emerged deep learning techniques, various advanced deep learning models have been employed increasingly to learn high...
Autores principales: | Wang, Xiaohu, Ren, Yongmei, Luo, Ze, He, Wei, Hong, Jun, Huang, Yinzhen |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10009917/ https://www.ncbi.nlm.nih.gov/pubmed/36923142 http://dx.doi.org/10.3389/fpsyg.2023.1126994 |
Ejemplares similares
-
Nuclear Norm Regularized Deep Neural Network for EEG-Based Emotion Recognition
por: Liang, Shuang, et al.
Publicado: (2022) -
Optimized Projection and Fisher Discriminative Dictionary Learning for EEG Emotion Recognition
por: Gu, Xiaoqing, et al.
Publicado: (2021) -
Deep Learning Based Emotion Recognition and Visualization of Figural Representation
por: Lu, Xiaofeng
Publicado: (2022) -
An Investigation of Deep Learning Models for EEG-Based Emotion Recognition
por: Zhang, Yaqing, et al.
Publicado: (2020) -
Feature extraction based on microstate sequences for EEG–based emotion recognition
por: Chen, Jing, et al.
Publicado: (2022)