%0 Journal Article
%T Influence of stimuli color on steady-state visual evoked potentials based BCI wheelchair control
%A Rajesh Singla
%A Arun Khosla
%A Rameshwar Jha
%J Journal of Biomedical Science and Engineering
%P 1050-1055
%@ 1937-688X
%D 2013
%I Scientific Research Publishing
%R 10.4236/jbise.2013.611131
%X <span style=\"font-family:Verdana;font-size:10pt;\">In recent years, Brain Computer Interface (BCI) systems based on Steady-State Visual Evoked Potential (SSVEP) have received much attention. This study tries to develop a SSVEP based BCI system that can control a wheelchair prototype in five different positions including stop position. In this study four different flickering frequencies in low frequency region were used to elicit the SSVEPs and were displayed on a Liquid Crystal Display (LCD) monitor using Lab-VIEW. Four stimuli colors, green, red, blue and violet were used to investigate the color influence in SSVEPs. The Electroencephalogram (EEG) signals recorded from the occipital region were segmented into 1 second window and features were extracted by using Fast Fourier Transform (FFT). One-Against-All (OAA), a popular strategy for multiclass SVM, is used to classify SSVEP signals. During stimuli color comparison SSVEP with violet color showed higher accuracy than that with green, red and blue stimuli.</span>
%K Steady-State Visual Evoked Potential
%K Brain Computer Interface
%K Support Vector Machines
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=39363