I-am-BigOrange / VigilanceNet
DL model estimating vigilance levels using multimodal EEG and EOG
☆25Updated 2 years ago
Alternatives and similar repositories for VigilanceNet:
Users that are interested in VigilanceNet are comparing it to the libraries listed below
- Using Capsule Network for EEG emotion classification using Digit-Caps model☆10Updated last year
- [ACM MM 2023] Multimodal Adaptive Emotion Transformer with Flexible Modality Inputs on A Novel Dataset with Continuous Labels☆43Updated 5 months ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆70Updated 2 years ago
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition☆54Updated 10 months ago
- ☆12Updated 2 years ago
- EEG 脑电 数据集 DEAP SEED☆21Updated last month
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆23Updated 6 months ago
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆51Updated 2 years ago
- code for LMDA☆77Updated last year
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆32Updated last year
- IEEE Transactions on Emerging Topics in Computational Intelligence☆63Updated last year
- My master thesis about emotion recognition from EEG data with a time series transformer☆21Updated last year
- pytorch implementation of EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks☆89Updated last year
- Source code for the paper: Sun, Biao, et al. "Graph Convolution Neural Network based End-to-end Channel Selection and Classification for …☆17Updated 2 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆66Updated 2 years ago
- This is the PyTorch implementation of the FBMSNet architecture for EEG-MI classification.☆36Updated last year
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆42Updated 2 years ago
- Clasificacion de imagenes motoras en señales EEG con CNN, LSTM y otros clasificadores☆54Updated 3 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆71Updated 3 years ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆27Updated 5 months ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆61Updated 2 years ago
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆47Updated 2 years ago
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆102Updated last year
- A Graph Convolutional Network Approach for Depression Detection using EEG based Brain Networks☆18Updated 4 years ago
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆64Updated 2 weeks ago
- ☆30Updated last year
- Feature extraction for EEG signals☆28Updated 5 years ago
- [TNNLS-2023] This is the PyTorch implementation of LGGNet.☆103Updated last year
- Motor execution (ME)/motor imagery (MI) cross-task adaptive transfer learning algorithm for MI EEG decoding☆14Updated last year
- EEG-based Emotion Recognition via Channel-wise Attention and Self Attention☆10Updated 4 years ago