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Song-Yun, X., Peng-Wei, W., Hai-Jun, Z. and Hai-Tao, Z. (2008) Research on the classification of brain function based on SVM. The 2nd International Conference on Bioinformatics and Biomedical Engineering, ICBBE 2008, 1931-1934.

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• TITLE: Influence of stimuli color on steady-state visual evoked potentials based BCI wheelchair control

  AUTHORS: Rajesh Singla, Arun Khosla, Rameshwar Jha

  KEYWORDS: Steady-State Visual Evoked Potential; Brain Computer Interface; Support Vector Machines

  JOURNAL NAME: Journal of Biomedical Science and Engineering, Vol.6 No.11, November 11, 2013

  ABSTRACT: 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.