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Cross-subject-EEG-emotion-recognition-through-NN

This code corresponds to the work "Cross-Subject EEG-Based Emotion Recognition Through Neural Networks With Stratified Normalization" submitted to Frontiers in Neuroscience.

The structure is as follows:

  • create_features.ipynb: Code to compute the Welch, multitaper and DE features
  • cross_subject_welch.ipynb: Code to compute the accuracies for the Welch features
  • cross_subject_multitaper.ipynb: Code to compute the accuracies for the multitaper features
  • cross_subject_de.ipynb: Code to compute the accuracies for the DE features

To download the SEED dataset, please follow the next instructions instructions.

Contact email:

Javier Fdez: [email protected]

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  • Jupyter Notebook 92.8%
  • Python 7.2%