• 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