siddhi5386 / Emotion-Recognition-from-brain-EEG-signals-
Emotion recognition can be achieved by obtaining signals from the brain by EEG . This test records the activity of the brain in form of waves. We have used DEAP dataset on which we are classifying the emotion as valance, likeness/dislike, arousal, dominance. We have used LSTM and CNN classifier which gives 88.60 % accuracy to predict the model s…
☆111Updated 3 years ago
Alternatives and similar repositories for Emotion-Recognition-from-brain-EEG-signals-:
Users that are interested in Emotion-Recognition-from-brain-EEG-signals- are comparing it to the libraries listed below
- 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…☆47Updated 2 years ago
- EEG Emotion classification using the DEAP pre-processed data☆140Updated 6 years ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆37Updated 5 years ago
- EEG-based emotion classification using DEAP dataset☆128Updated 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
- PyTorch EEG emotion analysis using DEAP dataset☆78Updated 7 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 data processing and it's convolution using AutoEncoder + CNN + RNN☆89Updated 6 years ago
- ☆29Updated 3 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
- This project is for classification of emotions using EEG signals recorded in the DEAP dataset to achieve high accuracy score using machi…☆162Updated 5 years ago
- EEG-Based Emotion Recognition☆48Updated 8 months ago
- 在 SEED 数据集上做 EEG 情绪识别☆105Updated 4 years ago
- SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition☆122Updated 3 years ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆29Updated last year
- Emotion recognition from EEG and physiological signals using deep neural networks☆46Updated 6 years ago
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆67Updated 2 years ago
- ☆103Updated 5 years ago
- Processed the DEAP dataset on basis of 1) PSD (power spectral density) and 2)DWT(discrete wavelet transform) features . Classifies the EE…☆126Updated 4 years ago
- Emotion Recognition using ML methods on the SEED dataset☆20Updated 5 years ago
- 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…☆36Updated 2 years ago
- Public Models considered for emotion estimation from EEG☆34Updated 2 years ago
- Pytorch implementation of EEGNet.☆44Updated 2 years ago
- Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch☆95Updated last year
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆121Updated last year
- GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, da…☆156Updated 4 years ago
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆81Updated 2 years ago
- Use Vision Transformer to generate Emotion Recognition using the DEAP dataset and EEG Signals.☆58Updated last year
- Emotion Recognition, EEG Mapping, Azimuthal Projection Technique, CNN☆46Updated 3 years ago