• DocumentCode
    582910
  • Title

    A tri-modal Schema for cognitive neuroscience research

  • Author

    Zheng, Rui ; Kuai, Xinkai ; Yang, Guosheng ; Fu, Siyao

  • Author_Institution
    Sch. of Inf. & Eng., Central Univ. of Nat., Beijing, China
  • fYear
    2012
  • fDate
    15-17 July 2012
  • Firstpage
    458
  • Lastpage
    462
  • Abstract
    There have been lots of tools for cognitive neuroscience research and some of them such as eye tracking, EEG grow up quickly. However, as each tool can only complete single function and most of technologies are not very mature, there is still a long road to get a convincing conclusion. In view of that, this paper proposes a tri-modal Schema combining EEG, eye tracking and image recognition for cognitive neuroscience research. The Schema contains the architecture to build such an experiment environment and the steps of data analysis. How to acquiring a signal with few artifacts and synchronize all the signals are focused. It provides a robust solution for establish an experiment environment quickly.
  • Keywords
    cognition; data analysis; electroencephalography; iris recognition; neurophysiology; EEG; cognitive neuroscience research; convincing conclusion; data analysis; experiment environment; eye tracking; image recognition; signal acquisition; trimodal schema; Brain models; Educational institutions; Electroencephalography; Emotion recognition; Feature extraction; Physiology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Information Processing (ICICIP), 2012 Third International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4577-2144-1
  • Type

    conf

  • DOI
    10.1109/ICICIP.2012.6391465
  • Filename
    6391465