EEG Signal Classification for Real- Time Neuro Marketing Applications

This paper aims to find out the functionality and mechanism and procedure of various brainwaves produced in a human and how non-invasive EEGs are used to read electrical activity that takes place inside our brain. This information can be further used for EEG signal classification for real time neuro marketing applications. In this paper we are going to compare the efficiency of the results of using various algorithms required for signal classification. All this is done by making use of the tool EEGLAB which is implemented in MATLAB. EEGLAB version 14.1.1 was used for the same. The dataset used was the default dataset provided by EEGLAB. Various documentations provided by Swartz Center for Computational Neuroscience were read and the directions to use the tool were followed as per the documentation provided by them.