THE EFFECT OF THE ENVIRONMENT ON BRAIN ACTIVITY DURING PROBLEM SOLVING

Abstract

In all functions of the brain, electrical signals called volumetric conduction occur in nerve cells in the brain. The process of measuring and recording these electrical signals by means of sensors placed in certain areas on the scalp is called electroencephalography (EEG). EEG signals occur in body movements, sleep and wakefulness, and in all kinds of processes in the brain, including cognitive processes. In this study, we investigate the effect of city noise and popular music environments while solving questions with different levels of difficulty (simple and hard) employing the EEG signals in Cognitive Tasks Database in Different Environments. Features are extracted from the EEG data, collected from 17 undergraduate and postgraduate students while solving simple and hard questions, by means of Continuous Wavelet Transform. EEG signals recorded while solving simple and hard questions, in city noise and popular music environments are classified with average accuracies of 90.10% and 93.92%, respectively using Bayesian Networks. Results show that, EEG data collected in two different environments, noise and favorite music, while solving problems can be classified with high accuracy and distinction can be made with higher success for difficult questions.

Keywords

• EEG,Cognitive Tasks,Classification,City Noise and Popular Music Enviroments

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