vipulSharma18 / Automatic-Emotion-Recognition-on-DEAP-Dataset
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 and Cascaded CNNs with LSTMs.
☆47Updated 2 years ago
Alternatives and similar repositories for Automatic-Emotion-Recognition-on-DEAP-Dataset:
Users that are interested in Automatic-Emotion-Recognition-on-DEAP-Dataset are comparing it to the libraries listed below
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆37Updated 5 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆67Updated 3 years ago
- Emotion Recogniton LSTM RNN Arousal Valence☆47Updated last year
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆29Updated last year
- Emotion Recognition from EEG Signals using the DEAP dataset with 86.4% accuracy. Applied multiple machine learning models and implemented…☆80Updated 5 years ago
- The repository contains trials that apply model transformer to the emotion recognition (classification) task based on electroencephalogra…☆50Updated 2 years ago
- Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementat…☆51Updated last year
- ☆29Updated 3 years ago
- 脑电情绪识别☆13Updated 2 years ago
- PyTorch EEG emotion analysis using DEAP dataset☆78Updated 7 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆67Updated 2 years ago
- Emotion Recognition using ML methods on the SEED dataset☆20Updated 5 years ago
- EEG-based emotion classification using DEAP dataset☆128Updated last year
- Emotion recognition from EEG and physiological signals using deep neural networks☆46Updated 6 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…☆111Updated 3 years ago
- This repository contains the tensorflow implementation for the paper: "Emotion Recognition from Multi-Channel EEG through Parallel Convol…☆45Updated 5 years ago
- 在 SEED 数据集上做 EEG 情绪识别☆105Updated 4 years ago
- ☆30Updated last year
- Emotion recognition based on DEAP dataset using One-Dimensional CNN, dan RNN (GRU, and LSTM).☆17Updated 3 years ago
- Code Implementation of paper: Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model☆26Updated 4 months ago
- EEG Emotion classification using the DEAP pre-processed data☆140Updated 6 years ago
- This repository contains the tensorflow implementation for our ICONIP-2018 paper: "Continuous Convolutional Neural Network with 3D Input …☆56Updated last year
- Emotional Classification with the DEAP dataset using EEGLAB, matlab and python. Currently in the status of developing a more efficient an…☆20Updated 4 years ago
- ECLGCNN is an emotion recognition method based on EEG data.☆19Updated last year
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆58Updated last year
- SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition☆122Updated 3 years ago
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆95Updated last year
- Public Models considered for emotion estimation from EEG☆34Updated 2 years ago
- Emotion recognition base on EEG.☆16Updated last year