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deap-cnn-lstm icon deap-cnn-lstm

Emotion recognition based on DEAP dataset using One-Dimensional CNN, dan RNN (GRU, and LSTM).

deap-eeg-emotion-analyse-and-classify icon 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。

deep-learning-thesis icon deep-learning-thesis

Implementation of Thesis: Multimodal Emotion Recognition using Deep Learning Techniques: A novel system for real-world Emotion Recognition

emotion-recognition-from-brain-eeg-signals- icon 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 successfully.

eumpy-experiment icon eumpy-experiment

This is a project of combining facial expression and EEG for emotion recognition using python in emotion experiment

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