Z-Fran / DEAP-EEG-Emotion-Analyse-and-ClassifyLinks
Simply emotion analyse and classify using EEG data based on DEAP dataset, using python and sklearn(SVM,KNN,Tree). 简单的EEG脑电数据情感分析，使用python和DEAP数据集。
☆35Updated last month
Alternatives and similar repositories for DEAP-EEG-Emotion-Analyse-and-Classify
Users that are interested in DEAP-EEG-Emotion-Analyse-and-Classify are comparing it to the libraries listed below
Sorting:
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆39Updated 5 years ago
- The project uses EEG signals from the DEAP Dataset to classify emotions into 4 classes using Ensembled 1-D CNNs, LSTMs and 2D , 3D CNNs a…☆51Updated 2 years ago
- 在 SEED 数据集上做 EEG 情绪识别☆111Updated 4 years ago
- EEG-based emotion classification using DEAP dataset☆142Updated 2 years ago
- EEG Emotion classification using the DEAP pre-processed data☆146Updated 6 years ago
- Emotion recognition using DEAP dataset，GSR。☆38Updated 6 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆73Updated 3 years ago
- Emotion Recognition from EEG Signals using the DEAP dataset with 86.4% accuracy. Applied multiple machine learning models and implemented…☆85Updated 5 years ago
- Emotion recognition can be achieved by obtaining signals from the brain by EEG . This test records the activity of the brain in form of w…☆117Updated 4 years ago
- 脑电情绪识别☆13Updated 2 years ago
- PyTorch EEG emotion analysis using DEAP dataset☆85Updated 7 years ago
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆56Updated 2 years ago
- ☆38Updated 4 years ago
- Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementat…☆57Updated 2 years ago
- [TAFFC-2022] PyTorch implementation of TSception v2☆120Updated last year
- Emotion recognition based on DEAP dataset using One-Dimensional CNN, dan RNN (GRU, and LSTM).☆17Updated 3 years ago
- ☆32Updated 4 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆72Updated 3 years ago
- This is an implentation of paper GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition☆73Updated 3 years ago
- Emotion Recogniton LSTM RNN Arousal Valence☆53Updated 2 years ago
- Emotion recognition from EEG and physiological signals using deep neural networks☆47Updated 7 years ago
- Emotional Classification with the DEAP dataset using EEGLAB, matlab and python. Currently in the status of developing a more efficient an…☆22Updated 4 years ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆34Updated last year
- This repository contains the tensorflow implementation for our ICONIP-2018 paper: "Continuous Convolutional Neural Network with 3D Input …☆57Updated 2 years ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆67Updated 2 years ago
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆107Updated 2 years ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆32Updated 8 months ago
- Emotion Recognition using ML methods on the SEED dataset☆20Updated 5 years ago
- Code of paper MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition☆97Updated last year
- It is an emotion detection with EEG and ECG signals.☆40Updated 5 years ago