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The dataset contains a collection of physiological signals (EEG, GSR, PPG) obtained from an experiment of the auditory attention on natural speech. From dataset, four predictive problems have been formulated. Python scripts are provided for preprocessing, visualizing, removing artifacts, predictive modelling and feature engineering.

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Experimental Model

Getting started

Start with dataset

Predictive modeling

Start with example codes

Feature Engineering

Feature Engineering

Deep Learning

Apply deeplearning

  • Participant
  • EEG Raw
  • Alpha Rhythm
  • Labeled signals
  • Correlation
  • Correlation
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