Influence of stimuli color on steady-state visual evoked potentials based BCI wheelchair control
- 1 Department of Instrumentation and Control Engineering, Dr BR Ambedkar National Institute of Technology, Jalandhar, Punjab, India
- 2 Department of Electronics and Communication Engineering, Dr. B. R. Ambedkhar National Institute of Technology Jalandhar, Punjab, India
- 3 Director General, IET Bhaddal, Ropar, Punjab, India
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.
- Wolpaw, J.R., Birbaumer, N., Heetderks, W.J., McFarland, D.J., Peckham, P.H., Schalk, G., Donchin, E., Quatrano, L.A., Robinson, C.J. and Vaughan, T.M. (2000) Brain computer interface technology: A review of the first international meeting. IEEE Transactions on Rehabilitation Engineering, 8, 164-173.
- Singla, R., Chambayil, B., Khosla, A. and Santosh, J. (2011) Comparison of SVM and ANN for classification of eye events in EEG. Journal of Biomedical Sciences and Engineering (JBISE), 4, 62-69.
- Berger, T.W., Chapin, J.K., Gerhardt, G.A., et al. (2007) International assessment of research and development in brain-computer interfaces: Report of the world technology evaluation center. Springer, Berlin.
- Cheng, M., Gao, X.R., Gao, S.K. and Xu, D. (2002) Design and implementation of a brain computer interface with high transfer rates. IEEE Transactions on Biomedical Engineering, 49, 1181-1186. http://dx.doi.org/10.1109/TBME.2002.803536
- Wang, Y.J., Wang, R.P., Gao, X.R., Hong, B. and Gao, S.K. (2006) A practical VEP-based brain-computer interface. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 14, 234-240. http://dx.doi.org/10.1109/TNSRE.2006.875576
- Lalor, E.C., Kelly, S.P., Finucane, C., Burke, R., Smith, R., Reilly, R.B. and McDarby, G. (2005) Steady-state VEP-based brain-computer interface control in an immersive 3D gaming environment. EURASIP Journal on Applied Signal Processing, 2005, 3156-3164. http://dx.doi.org/10.1155/ASP.2005.3156
- Muller-Putz, G.R. and Pfurtscheller, G. (2008) Control of an electrical prosthesis with an SSVEP-based BCI. IEEE Transactions on Biomedical Engineering, 55, 361-364. http://dx.doi.org/10.1109/TBME.2007.897815
- Lee, P.L., Chang, H.C., Hsieh, T.Y., et al. (2012) A brain wave actuated small robot car using ensemble empiricalmode decomposition based approach. IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans, 42, 1053-1064.
- Zhu, D.H., Bieger, J., Molina, G.G. and Aarts, R.M. (2010) A survey of stimulation methods used in SSVEP-based BCI system. Computational Intelligence and Neuroscience, 702357.
- Wang, Y., Wang, Y.-T. and Jung, T.-P. (2010) Visual stimulus design for high-rate SSVEP BCI. Electronics Letters, 46, 1057-1058. http://dx.doi.org/10.1049/el.2010.0923
- Muller-Putz, G.R., Scherer, R., Brauneis, C. and Pfurtscheller, G. (2005) Steady-state visual evoked potential (SSVEP)-based communication: Impact of harmonic frequency components. Journal of Neural Engineering, 2, 123-130. http://dx.doi.org/10.1088/1741-2560/2/4/008