Vidhi1290 / Deep-Learning-for-EEG-Emotion-Classification
This repository contains a Python code script for performing emotion classification using EEG (Electroencephalogram) data. Emotion classification from EEG signals is an important application in neuroscience and human-computer interaction. The code leverages deep learning techniques to analyze EEG data and predict emotional states.
☆13Updated last year
Related projects ⓘ
Alternatives and complementary repositories for Deep-Learning-for-EEG-Emotion-Classification
- EEG-Based Emotion Recognition☆44Updated 5 months 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…☆106Updated 3 years ago
- Code for processing and managing data for EEG-based emotion recognition of individuals with and without Autism. EEG and other clinical da…☆45Updated 8 months ago
- A research repository of deep learning on electroencephalographic (EEG) for Motor imagery(MI), including eeg data processing(visualizatio…☆58Updated 3 months ago
- ☆103Updated 5 years ago
- EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V☆26Updated last year
- EEG-based emotion classification using DEAP dataset☆121Updated last year
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆38Updated 3 years ago
- This project focuses on data preprocessing and epilepsy seizure prediction using the CHB-MIT EEG dataset. It includes steps like data cle…☆19Updated last year
- EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow☆204Updated 6 months ago
- Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementat…☆49Updated last year
- Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction☆58Updated 2 years ago
- PyTorch EEG emotion analysis using DEAP dataset☆74Updated 6 years ago
- ☆28Updated 3 years ago
- Automated Accurate Emotion Recognition using Rhythm-Specific Deep Convolutional Neural Network Technique with Multi-Channel EEG Signals☆12Updated 2 years ago
- EEG Emotion Recognition project, experiment on SEED (SEED-IV), DEAP dataset☆34Updated 5 years ago
- Generate statistical features from Electroencephalographic data☆85Updated 2 years ago
- Application prepares data to learning process. Including preprocessing, cleaning, reformating, feature extraction using PyEEG library and…☆28Updated 3 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆62Updated 3 years ago
- This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) applications.☆74Updated 3 years ago
- i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG…☆18Updated 3 years ago
- Public EEG Dataset☆37Updated last year
- Detection of human emotions from eeg signals using the amigos dataset☆21Updated 3 years ago
- Public Models considered for emotion estimation from EEG☆35Updated 2 years ago
- The codes that I implemented during my B.Sc. project.☆21Updated 2 years ago
- A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BCI)☆36Updated 5 months ago
- EEG motor imagery classification using convolutional neural networks☆34Updated last year
- This project describes the necessary code to implement an EEG-based emotion recognition using SincNet [Ravanelli & Bengio 2018] including…☆62Updated 3 weeks ago
- Emotion Recognition, EEG Mapping, Azimuthal Projection Technique, CNN☆44Updated 3 years ago