WSEAS Transactions on Systems and Control


Print ISSN: 1991-8763
E-ISSN: 2224-2856

Volume 13, 2018

Notice: As of 2014 and for the forthcoming years, the publication frequency/periodicity of WSEAS Journals is adapted to the 'continuously updated' model. What this means is that instead of being separated into issues, new papers will be added on a continuous basis, allowing a more regular flow and shorter publication times. The papers will appear in reverse order, therefore the most recent one will be on top.

Volume 13, 2018


Measuring Brain Signals using Emotiv Devices

AUTHORS: Martin Strmiska, Zuzana Koudelkova, Martina Zabcikova

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ABSTRACT: BCI (Brain-computer interface) use for scanning the brain activity. This is the interface, which creates the connection between the brain and the computer. Thanks to this interconnection allows us to observe the brain activity. BCI translate brain signals into control commands for external devices using decoding algorithm. BCI systems can be very useful for examining areas neurobiology, neuropsychology, physiotherapy, neurophysiology etc. The aim of this article is to prove that brain-computer interface is a helpful and quite precise tool. To achieve that objective has been created few real-life examples, among which we can find a practical use. The results show that this device is indeed helpful (in a medical field, rehabilitation or psychology). In practice, unfortunately not used very much.

KEYWORDS: - BCI, EEG, Emotiv EPOC+, Emotiv Insight, Xavier, MyEmotiv, non-invasive, Emotional states

REFERENCES:

[1] S. S. Mader, M. Windelspecht, Human biology, 12th ed., New York, NY: McGraw-Hill, 2012, ISBN 0073525464.

[2] H.S. Anupama, N.K. Cauvery, G.M. Lingaraju, International Journal of Advances in Engineering & Technology, 3, 739-745 (2012).

[3] S SIULY, Siuly, Yan LI a Yanchun ZHANG. EEG signal analysis and classification: techniques and applications. Cham: Springer,

[2016], xiii, 256. Health information science. ISBN 978-3-319-47652-0. Available on: https://www.loc.gov/catdir/enhancements/fy162 2/2016959570-d.html

[4] EMOTIV EPOC+ - 14 Channel Wireless EEG Headset

[online]. Available on: https://www.emotiv.com/epoc/

[5] HE, Bin. Neural engineering. Second edition. New York: Springer, 2013, x, 800. ISBN 978-1- 4899-7887-5.

[6] REINKENSMEYER, David J a Volker DIETZ. Neurorehabilitation technology. Second edition. Cham: Springer,

[2016], xxii, 647. ISBN 978-3-319-28601-3.

[7] EMOTIV: EMOTIV Insight Brainwear® 5 Channel Wireless EEG Headset

[online].

[Cit. 2018-10-31]. Available on: https://www.emotiv.com/insight/

[8] KRAJCA, Vladimir a Jitka MOHYLOVA. Numerical processing of neurophysiological signals. In Prague: Czech Technical University in Prague, 2011. ISBN 978- 80-01-04721-7. b

WSEAS Transactions on Systems and Control, ISSN / E-ISSN: 1991-8763 / 2224-2856, Volume 13, 2018, Art. #61, pp. 537-542


Copyright Β© 2018 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution License 4.0

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