deap-dataset
There are 15 repositories under deap-dataset topic.
Piyush-Bhardwaj/EEG-based-emotion-analysis-using-DEAP-dataset-for-Supervised-Machine-Learning
This project is for classification of emotions using EEG signals recorded in the DEAP dataset to achieve high accuracy score using machine learning algorithms such as Support vector machine and K - Nearest Neighbor.
tuengominh/deap-eeg-classification
EEG-based emotion classification using DEAP dataset
gzoumpourlis/DEAP_MNE_preprocessing
Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction
xmh1011/AT-DGNN
[DEAP] Attention-Based Temporal Learner With Dynamical Graph Neural Network for EEG Emotion Recognition.
dolphin-in-a-coma/multi-task-cnn-eeg-emotion
Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementation.
Mozartuss/DEAP-Emotion-Recognition
Emotion Recogniton LSTM RNN Arousal Valence
Z-Fran/DEAP-EEG-Emotion-Analyse-and-Classify
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和DEAP数据集。
gcunhase/Emotional-Video-to-Audio-with-ANFIS-DeepRNN
Emotional Video to Audio Transformation with ANFIS-DeepRNN (Vanilla RNN and LSTM-DeepRNN) [MPE 2020]
shubhe25p/Emotion-detection-from-EEG
KNN classifier for human emotion from EEG
IoBT-VISTEC/Deep-Learning-for-EEG-Based-Biometrics
Affective EEG-Based Person Identification Using the Deep Learning Approach (IEEE Transactions on Cognitive and Developmental Systems)
riggraz/valence-arousal-classification-from-eeg
Statistical comparison study of valence-arousal classifiers from EEG signals on DEAP and MANHOB datasets
chrysatbr/EEG-Emotion-Recognition
emotion recognition through eeg by using HOS method
Di40/EEG-Emotion-Classification
Emotion recognition from EEG data (Bachelor's thesis), using the DEAP dataset. Performed manual feature selection across three domains: time, frequency, and time-frequency. Used different classifiers, including XGBoost, AdaBoost, Random Forest, k-NN, SVM, etc.
d-dawg78/MVA_ST
Master MVA - Time Series Project
AlessioLucciola/multimodal-advertisement-sentiment-analysis
Final project for the master's degree in Computer Science course "Multimodal Interaction" at the University of Rome "La Sapienza" (A.Y. 2023-2024).