Reading and processing eeg signals - the machine learning approach

Abstract

The diploma thesis covers cognition and presentation, with the basics of EEG brain waves using the Emotiv Insight device. The captured EEG data represents the input data into a machine learning model, which was used to determine when and where the required patterns appear. The experiment of the developed method of capturing data and model usage was carried out by exposing the test subject to the alternating selected images and capturing the EEG brain waves with the Emotiv Insight device. The captured EEG data served as a database from which the artificial neural network classification model learnt to successfully recognize when a test subject was exposed to one type of image and when to another.