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EEG Biometric Authentication

This Python package provides tools for biometric authentication of EEG (Electroencephalography) data. It includes functionalities for data loading, model creation (specifically a Convolutional Neural Network), training, evaluation, and visualization.

Features

  • Data Loading: Load EEG data from CSV files.
  • Model Creation: Define a Convolutional Neural Network (CNN) model for EEG data classification.
  • Training and Evaluation: Train the CNN model and evaluate its performance.
  • Prediction: Make predictions on new EEG data.
  • Visualization: Visualize evaluation metrics such as accuracy and confusion matrix.

Installation

You can install the EEG Biometric Authentication using pip:

pip install eeg_biometric_authentication_package
Usage
Here's a basic example of how to use the package:

python
Copy code
from eeg_analysis_package.data.loader import load_data
from eeg_analysis_package.models.cnn_model import create_cnn_model
from eeg_analysis_package.train_eval.trainer_evaluator import (
    train_model,
    evaluate_model,
    predict_labels,
    calculate_subject_accuracies,
    generate_confusion_matrix
)
from eeg_analysis_package.utils.visualization import plot_confusion_matrix

# Load data, create model, train model, evaluate model, etc. (as shown in the example script