The research on intelligent wheelchair based on brain computer interface of steady state visual evoked potential
GAO Nuo
ZHAI Wenwen
LU Jiaxing
WU Linyan
LU Shouyin
Abstract：The intelligent wheelchair based on brain computer interface(BCI),currently,has some problems,such as the low ac-curacy of signal analysis and the difficulty of controlling the turning angle.In view of the problems,a wheelchair with steady state visu-al evoked potential(SSVEP)as control signal was proposed.The system used canonical correlation analysis to extract EEG signals in real time and generated control signals with high signal transmission rate and fast analysis speed.In addition, the using of Mecanum wheel made the proposed system achieve omni-direction moving without a turning.The corresponding experiment results demonstrate the wheelchair′s feasibility and effectiveness.
Keywords：Stable-state visual evoked potentialsBrain computer interfaceIntelligent wheelchairMecanum wheelCanonical correlation analysis
Publication Date：2018-01-01
Online Publishing Date：2026-09-11(First online date of this platform, not the publication date of the document)
Pages：5( 6-10 )