TFCNN-BiGRU

版本 1.0.0 (2.6 KB) 作者: Prof. Dr. Essam H Houssein
TFCNN-BiGRU with self-attention mechanism for automatic human Emotion Recognition using Multi-Channel EEG Data
0.0
(0)
89.0 次下载
更新时间 2024/5/3

查看许可证

A new deep learning architecture that combines a time-frequency convolutional neural network (TFCNN), a bidirectional gated recurrent unit (BiGRU), and a self-attention mechanism (SAM) to categorize emotions based on EEG signals and automatically extract features. The first step is to use the continuous wavelet transform (CWT), which responds more readily to temporal frequency variations within EEG recordings, as a layer inside the convolutional layers, to create 2D scalogram images from EEG signals for time series and spatial representation learning. Second, to encode more discriminative features representing emotions, two-dimensional (2D)-CNN, BiGRU, and SAM are trained on these scalograms simultaneously to capture the appropriate information from spatial, local, temporal, and global aspects.

引用格式

Prof. Dr. Essam H Houssein (2024). TFCNN-BiGRU (https://www.mathworks.com/matlabcentral/fileexchange/165126-tfcnn-bigru), MATLAB Central File Exchange. 检索时间: .

MATLAB 版本兼容性
创建方式 R2024a
兼容任何版本
平台兼容性
Windows macOS Linux
标签 添加标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

TFCNN_BiGRU_SAM

版本 已发布 发行说明
1.0.0