DocumentCode :
145693
Title :
Evaluation of the NeuroSky MindFlex EEG headset brain waves data
Author :
Katona, Jozsef ; Farkas, Imre ; Ujbanyi, Tibor ; Dukan, Peter ; Kovari, Attila
Author_Institution :
Coll. of Dunaujvaros, Inst. of Inf. Technol., Dunaujvaros, Hungary
fYear :
2014
fDate :
23-25 Jan. 2014
Firstpage :
91
Lastpage :
94
Abstract :
In human brain, either in the state of wakefulness or sleeping, different frequency changes are observable in the spectrum of measured electric signals of the brain. Regarding the frequency components of these signals that occur as a consequence of this electric activity, different brain waves can be distinguished. The electric impulse alternations that generated during the operation of neurons can be measured by the EEG (electroencephalograph) device. In the past, devices that could measure these brain signal alterations were mainly used in medicine. However, in the past few years cheaper and user friendly brainwave signal processing units have become available and the use of this technology has expanded. In this paper, the so-called Brain Computer Interface unit will be presented that was developed for further brain wave analysis and ensures the detection of brain waves. Moreover, an application for visualization and further procession of the measured and processed signals will also be described. The application can be used for EEG data acquisition, processing and visualization which could be the base of several further researches.
Keywords :
bioelectric potentials; brain-computer interfaces; data acquisition; data visualisation; electroencephalography; human computer interaction; medical signal processing; neurophysiology; sleep; EEG data acquisition; EEG data processing; EEG data visualization; Neurosky MindFlex EEG headset brain waves data evaluation; brain computer interface unit; brain signal alterations; electric activity; electric impulse alternations; electroencephalography; frequency components; human brain; measured electric signal spectrum; medicine; neuron operation; sleeping; user friendly brainwave signal processing; wakefulness; Brain; Computers; Data visualization; Electrodes; Electroencephalography; Headphones; Wireless communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applied Machine Intelligence and Informatics (SAMI), 2014 IEEE 12th International Symposium on
Conference_Location :
Herl´any
Print_ISBN :
978-1-4799-3441-6
Type :
conf
DOI :
10.1109/SAMI.2014.6822382
Filename :
6822382
Link To Document :
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