Raghav714 / EEG-Emotion-classificationLinks
☆108Updated 6 years ago
Alternatives and similar repositories for EEG-Emotion-classification
Users that are interested in EEG-Emotion-classification are comparing it to the libraries listed below
Sorting:
- PyTorch EEG emotion analysis using DEAP dataset☆86Updated 7 years ago
- EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow☆225Updated last year
- This project is for classification of emotions using EEG signals recorded in the DEAP dataset to achieve high accuracy score using machi…☆173Updated 6 years ago
- EEG data processing and it's convolution using AutoEncoder + CNN + RNN☆93Updated 7 years ago
- EEG Emotion classification using the DEAP pre-processed data☆148Updated 6 years ago
- Feature Extraction of Mental Load EEG signals☆59Updated 8 years ago
- Emotion Recognition from EEG Signals using the DEAP dataset with 86.4% accuracy. Applied multiple machine learning models and implemented…☆87Updated 5 years ago
- Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data☆79Updated 7 years ago
- CNN classifier to classify MI-EEG signals☆49Updated 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…☆121Updated 4 years ago
- EEG motor imagery classification using convolutional neural networks☆36Updated 2 years ago
- Processed the DEAP dataset on basis of 1) PSD (power spectral density) and 2)DWT(discrete wavelet transform) features . Classifies the EE…☆129Updated 5 years ago
- EEG Sleep stage classification using CNN with Keras☆174Updated last year
- Realtime emotion recognition from EEG data.☆162Updated 6 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆75Updated 3 years ago
- GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, da…☆164Updated 5 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆131Updated last year
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆39Updated 6 years ago
- EEG-based emotion classification using DEAP dataset☆144Updated 2 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…☆54Updated 2 years ago
- Emotion Recognition, EEG Mapping, Azimuthal Projection Technique, CNN☆48Updated 4 years ago
- Generate statistical features from Electroencephalographic data☆93Updated 2 years ago
- Motor Imagery EEG Signal Classification Using Random Subspace Ensemble Network☆41Updated 2 years ago
- PyTorch implementation of TSception☆75Updated 2 years ago
- ☆32Updated 4 years ago
- modify self-attention model for EEG signal as input and image embedding layer as output☆102Updated 6 years ago
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆84Updated 3 years ago
- Emotion recognition from EEG and physiological signals using deep neural networks☆47Updated 7 years ago
- ☆68Updated 6 years ago
- Application prepares data to learning process. Including preprocessing, cleaning, reformating, feature extraction using PyEEG library and…☆31Updated 4 years ago