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

Rajesh Singla, Arun Khosla, Rameshwar Jha

Department of Electronics and Communication Engineering, Dr. B. R. Ambedkhar National Institute of Technology Jalandhar, Punjab, India.
Department of Instrumentation and Control Engineering, Dr BR Ambedkar National Institute of Technology, Jalandhar, Punjab, India.
Director General, IET Bhaddal, Ropar, Punjab, India.

DOI: 10.4236/jbise.2013.611131                

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.

Keywords

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

Conflicts of Interest

The authors declare no conflicts of interest.

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