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
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;
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
DOI :
10.1109/ICICISYS.2009.5358230