Title :
Implementation of an inexpensive EEG headset for the pattern recognition purpose
Author :
Kawala-Janik, Aleksandra ; Podpora, Michal ; Pelc, Mariusz ; Piatek, Pawel ; Baranowski, Jerzy
Author_Institution :
Sch. of Comput. & Math. Sci., Univ. of Greenwich, London, UK
Abstract :
There are many types of bio-signals with various control application prospects. In this work possible control application domain of electroencephalographic signal obtained from an easily available, inexpensive EEG headset - Emotiv EPOC was presented. This work also involved application of an embedded system platform. That solution caused limits in choosing an appropriate signal processing method, as embedded platforms characterise with a little efficiency and low computing power. Potential implementation of the embedded platform enables to extend the possible future application of the proposed BCI. It also gives more flexibility, as the platform is able to simulate various environments. In this work traditional, statistical methods were neither used nor described.
Keywords :
electroencephalography; medical signal processing; pattern recognition; statistical analysis; BCI; Emotiv EPOC; biosignals; control application domain; electroencephalographic signal; embedded system platform; inexpensive EEG headset; pattern recognition; signal processing; statistical methods; Electrodes; Electroencephalography; Headphones; MATLAB; Noise measurement; Pattern recognition; Signal processing; Brain-Computer Interface; EEG signals; Emotiv EPOC headset; bioinformatics; control; embedded platforms; robotics; signal processing;
Conference_Titel :
Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), 2013 IEEE 7th International Conference on
Conference_Location :
Berlin
Print_ISBN :
978-1-4799-1426-5
DOI :
10.1109/IDAACS.2013.6662715