yulene22 / T-A-MFFNET-ProjectsLinks
Based on EEG signal, the differential entropy feature is extracted, and the convolution neural network based on time domain network and attention network is built to detect fatigue driving.
☆13Updated 2 years ago
Alternatives and similar repositories for T-A-MFFNET-Projects
Users that are interested in T-A-MFFNET-Projects are comparing it to the libraries listed below
Sorting:
- ☆9Updated 2 years ago
- High-East / Attention-based-spatio-temporal-spectral-feature-learning-for-subject-specific-EEG-classificationOfficial code for "Attention-Based Spatio-Temporal-Spectral Feature Learning for Subject-Specific EEG Classification" paper☆37Updated 3 years ago
- DDGCNN for ssvep☆15Updated last year
- Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.☆52Updated 4 years ago
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆25Updated last month
- My master thesis about emotion recognition from EEG data with a time series transformer☆21Updated last year
- ☆21Updated 2 years ago
- Construct a model, which contains channel-attention, CNN, LSTM, self-attention, to classify EEG data;☆11Updated 3 years ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆60Updated last year
- ☆13Updated last year
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆45Updated 2 years ago
- Seeking to recreate the work demonstrated in A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification by…☆18Updated 3 years ago
- http://www.eecs.qmul.ac.uk/mmv/datasets/deap/☆28Updated 4 years ago
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆108Updated 2 years ago
- MPED: A Multi-Modal Physiological Emotion Database for Discrete Emotion☆40Updated 4 years ago
- paper for “Multiscale space-time-frequency feature-guided multitask learning CNN for motor imagery EEG classification”☆14Updated 4 years ago
- Temporal information enhanced EEGNet☆13Updated 2 years ago
- The source code of the OACCA introduced in our IEEE TBME paper (10.1109/TBME.2021.3133594)☆23Updated last week
- the implementation of multimodal emtion recognizer —— CTCNe which is proposed in "Learning Regional-Level Feature Fusion and Sentiment-Re…☆19Updated 4 years ago
- A MATLAB toolbox for classification of motor imagery tasks in EEG-based BCI system with CSP, FB-CSP and BSSFO☆7Updated 2 years ago
- Feature extraction for EEG signals☆28Updated 5 years ago
- Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity☆40Updated 5 years ago
- ☆13Updated 2 years ago
- The official implementation of our paper "MEET: A Multi-band EEG Transformer for Brain States Decoding"☆15Updated 3 years ago
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆38Updated last year
- Machine learning on motor imagery data.☆16Updated 5 years ago
- 基于一个公开数据集和一个BCI竞赛数据集,提供一个SVM-CSP运动想象二分类demo☆11Updated 3 years ago
- 运动想象分类模型---ATCNet,源代码融合了关于EEGNet,DeepConvNet,ShallowConvNet等多种典型模型作对比☆28Updated 2 years ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆55Updated 4 years ago
- Using GAN to create synthetic and partially synthetic EEG data to augment training sets for motor imagery interaction tasks☆12Updated 5 years ago