0xallam/Brain-EEG-Emotion-Classifier
Emotion classification from Brain EEG signals using a hybrid CNN-Transformer model and various ML algorithms.
This project helps researchers and neuroscientists classify human emotions from raw brain EEG signals. It takes recorded EEG data, processes it, and outputs predictions for emotional states like positive, negative, or neutral. This tool is designed for practitioners working with brain-computer interfaces or emotion recognition studies.
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Use this if you need to automatically identify emotional states from EEG brainwave data.
Not ideal if you are looking to classify emotions from facial expressions, speech, or other non-EEG physiological data.
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Aug 30, 2023
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