Cargando…
Accelerating 3D Convolutional Neural Network with Channel Bottleneck Module for EEG-Based Emotion Recognition
Deep learning-based emotion recognition using EEG has received increasing attention in recent years. The existing studies on emotion recognition show great variability in their employed methods including the choice of deep learning approaches and the type of input features. Although deep learning mo...
Autores principales: | Kim, Sungkyu, Kim, Tae-Seong, Lee, Won Hee |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9500982/ https://www.ncbi.nlm.nih.gov/pubmed/36146160 http://dx.doi.org/10.3390/s22186813 |
Ejemplares similares
-
EEG-Based Emotion Recognition by Convolutional Neural Network with Multi-Scale Kernels
por: Phan, Tran-Dac-Thinh, et al.
Publicado: (2021) -
CR-GCN: Channel-Relationships-Based Graph Convolutional Network for EEG Emotion Recognition
por: Jia, Jingjing, et al.
Publicado: (2022) -
Emotion Recognition Based on EEG Using Generative Adversarial Nets and Convolutional Neural Network
por: Pan, Bo, et al.
Publicado: (2021) -
Investigating the Use of Pretrained Convolutional Neural Network on Cross-Subject and Cross-Dataset EEG Emotion Recognition
por: Cimtay, Yucel, et al.
Publicado: (2020) -
Research on Emotion Recognition of EEG Signal Based on Convolutional Neural Networks and High-Order Cross-Analysis
por: Fan, Chengcheng, et al.
Publicado: (2022)