yinxiaojian / emotion-recognition
基于皮肤电信号的情绪识别算法
☆18Updated 7 years ago
Alternatives and similar repositories for emotion-recognition:
Users that are interested in emotion-recognition are comparing it to the libraries listed below
- Emotion recognition using DEAP dataset,GSR。☆37Updated 6 years ago
- ☆36Updated 6 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…☆35Updated 2 years ago
- 脑电情绪识别☆13Updated 2 years ago
- Emotion Recogniton LSTM RNN Arousal Valence☆47Updated 2 years ago
- ☆104Updated 6 years ago
- EEG Emotion classification using the DEAP pre-processed data☆143Updated 6 years ago
- PyTorch EEG emotion analysis using DEAP dataset☆80Updated 7 years ago
- Processed the DEAP dataset on basis of 1) PSD (power spectral density) and 2)DWT(discrete wavelet transform) features . Classifies the EE…☆128Updated 4 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…☆48Updated 2 years ago
- Code for processing and managing data for EEG-based emotion recognition of individuals with and without Autism. EEG and other clinical da…☆47Updated 2 months ago
- Emotion Recognition, EEG Mapping, Azimuthal Projection Technique, CNN☆45Updated 3 years ago
- Diploma Thesis Project on Emotion Recognition from EEG-signals☆12Updated 5 years ago
- This is for my Biomedical Computation class in campus. The problem is for classifying EEG Dataset from Bonn University that contains seiz…☆11Updated 8 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…☆112Updated 3 years ago
- Emotion Recognition from EEG Signals using the DEAP dataset with 86.4% accuracy. Applied multiple machine learning models and implemented…☆83Updated 5 years ago
- EEG data processing and it's convolution using AutoEncoder + CNN + RNN☆89Updated 6 years ago
- Application prepares data to learning process. Including preprocessing, cleaning, reformating, feature extraction using PyEEG library and…☆29Updated 4 years ago
- SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition☆125Updated 3 years ago
- 在 SEED 数据集上做 EEG 情绪识别☆107Updated 4 years ago
- Using Deep Learning for Emotion Classification on EEG signals (SEED Dataset). CNN, RNN, Hybrid model, and Ensemble☆71Updated 3 years ago
- Emotional Classification with the DEAP dataset using EEGLAB, matlab and python. Currently in the status of developing a more efficient an…☆21Updated 4 years ago
- EEG-based emotion classification using DEAP dataset☆131Updated 2 years ago
- ☆65Updated 2 years ago
- Emotion Recognition using ML methods on the SEED dataset☆20Updated 5 years ago
- EEG emotion recognition based on Temporal convolutional network☆24Updated 6 years ago
- Classification of Fatigue in Consumer-grade EEG Using Entropies as Features☆16Updated 4 years ago
- Emotion recognition from EEG and physiological signals using deep neural networks☆47Updated 6 years ago
- ☆19Updated 3 years ago
- 基于小波变换和卷积神经网络的脑电运动成像信号分类☆42Updated 4 years ago