Open AccessUSE OF A COST-EFFECTIVE NEUROHEADSET EMOTIV EPOC FOR PATTERN RECOGNITION PURPOSES
Author(s) -
Aleksandra Kawala-Janik,
Jerzy Baranowski,
Michał Podpora,
Paweł Piątek,
Mariusz Pelc
Publication year - 2014
Publication title -
computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.184
H-Index - 11
eISSN - 2312-5381
pISSN - 1727-6209
DOI - 10.47839/ijc.13.1.618
Subject(s) - headset , computer science , flexibility (engineering) , brain–computer interface , signal processing , embedded system , human–computer interaction , artificial intelligence , machine learning , computer hardware , electroencephalography , telecommunications , digital signal processing , psychology , statistics , mathematics , psychiatry
Application of biomedical signals for the control purposes is currently growing interest of research society. Various biomedical signals enable various control prospects. In this paper application domain of using electroencephalographic signals obtained from an inexpensive Emotiv EPOC headset was described. It is also important to mention the possible implementation of the proposed method on an embedded platform, as it causes some significant limitations due to the little efficiency and low computing power of an embedded system platform. The proposed method enables to extend future application of the BCI system presented in this paper and it also gives more testing flexibility, as the platform can simulate various external environments. It is crucial to mention, that no filtering was done and that the traditional, statistical signal processing methods were in this work neither used, nor described.