Identification of EEG Brain Waves Obtained by Emotive Device

摘要

The Brain-Computer Interfaces (BCI) is a technology that allows users to submit command to devices by focusing on which action the user wants to do. Using appropriate classification methods, brainwaves data can be used as a digital command to the computer, eliminating the need from classic GUI and commands to control devices. But one of the main problems in the processing of these signals is the preliminary determination of exactly which signals carry useful information containing the necessary commands. The purpose of this study is the show result from one approach to preliminary classification brain wave signals and to distinguish them with great precision when performing activities. In this research, we use an EMOTIV Epoc (14 channel) device. The results of the study show the need for pre-processing of signals coming from BCI devices. This can significantly reduce the amount of data for further processing since we can exclude further processing of data from those channels that do not contain important information. As a result, the processing speed and the percentage of correct recognizable commands increase.