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Digital Library of the
European Council for Modelling and Simulation |
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Title: |
Analysis Of EEG Signal For Using In Biometrical Classification |
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Authors: |
Roman Zak, Jaromir Svejda, Roman Senkerik, Roman Jasek |
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Published in:
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(2014).ECMS 2014 Proceedings edited
by: Flaminio Squazzoni,
Fabio Baronio, Claudia Archetti,
Marco Castellani European Council for
Modeling and Simulation. doi:10.7148/2014 ISBN:
978-0-9564944-8-1 28th
European Conference on Modelling and Simulation, Brescia,
Italy, May 27th – 30th,
2014 |
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Citation
format: |
Roman
Zak, Jaromir Svejda,
Roman Senkerik, Roman Jasek
(2014). Analysis Of EEG Signal For Using In
Biometrical Classification, ECMS 2014 Proceedings edited by: Flaminio Squazzoni, Fabio Baronio, Claudia Archetti,
Marco Castellani European Council for Modeling and Simulation. doi:10.7148/2014-0377 |
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DOI: |
http://dx.doi.org/10.7148/2014-0377 |
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Abstract: |
Aim of this article is to
clarify the potential use of EEG signal in modern information age. The basic
principle of Brain Computer Interface (BCI) lies in the connection of brain
waves with output device through some interface. BCI technology represents a
communication interface between brain and computer. To sense electric signal
from the brain, it is usually used an equipment based on the last results of
scientific research on neurotechnology. Communication
is provided by wireless transmission through which the signal is transmitted from
the equipment to personal computer. Then the signal is analysed,
processed and used for finding appropriate classification parameters. |
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