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.
This project helps researchers analyze brain activity to understand human emotions. It takes preprocessed EEG brain map data from individual subjects and outputs classifications for their emotional arousal and valence (how pleasant or unpleasant an emotion is). This tool is designed for neuroscientists, psychologists, and human-computer interaction researchers studying affective states.
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Use this if you need to accurately classify emotional states (arousal and valence) from EEG brain maps for individual research participants.
Not ideal if you need to recognize emotions from EEG signals in a subject-independent manner or if your EEG data was recorded with different sensor types than the DEAP dataset.
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MIT
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Last pushed
Apr 27, 2023
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