• DocumentCode
    506741
  • Title

    Application of wavelet packet technique in BCI

  • Author

    Zhao, Li ; Shen, Hui ; Bian, Yan ; Xiao, Longteng ; Hu, Daofu ; Yuan, Pengxian

  • Author_Institution
    Dept. of Autom. Eng., Tianjin Univ. of Technol. & Educ., Tianjin, China
  • Volume
    3
  • fYear
    2009
  • fDate
    20-22 Nov. 2009
  • Firstpage
    43
  • Lastpage
    46
  • Abstract
    The research designed a brain-computer interface (BCI) system based on the steady state VEP potential (SSVEP). It used the wavelet packet decomposition technology to extract feature. Comparing with the FFT, this method could avoid the spectrum leakage and improve the information transmission rate. A SSVEP-based controlling system of multi-DoF manipulator was presented in this paper on the basis of virtual instruments. Various experiments showed the average detection accuracy over all subjects is about 78.75%, it is higher than the system adopted the FFT. The realization of the system provided a new exploration to the using of robot-assisted in space based on BCI.
  • Keywords
    brain-computer interfaces; control engineering computing; feature extraction; manipulators; virtual instrumentation; wavelet transforms; brain-computer interface system; feature extraction; multiDoF manipulator; steady state visual evoked potential; virtual instruments; wavelet packet decomposition technology; Automation; Control systems; Educational technology; Frequency; Instruments; MIMO; Manipulators; Research and development; Steady-state; Wavelet packets; BCI; Wavelet Packet; component;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-4754-1
  • Electronic_ISBN
    978-1-4244-4738-1
  • Type

    conf

  • DOI
    10.1109/ICICISYS.2009.5358230
  • Filename
    5358230