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siddhi5386/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.

github_siddhi5386_emotion_recognition_from_brain_eeg_signalsEEG开放
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模型任务类型Accuracy
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知识图谱

任务
Emotion
论文
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算法
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应用
Affective neuroscience research

相似数据集

Affective Videos54.7 · exact task-category matchAbhi-Shek-2003/EMOTION-RECOGNITION-BASED-ON-EEG-SIGNALS-USING-DEAP-DATASET47.5 · exact task matchdolphin-in-a-coma/multi-task-cnn-eeg-emotion47.5 · exact task match

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