Classification of visual stimuli with different spatial patterns for single-frequency, multi-class SSVEP BCI
Abstract
A new approach for a multi-class steady-state visual-evoked potential (SSVEP)-based brain–computer interface (BCI) is proposed. It was demonstrated through preliminary experiments that spatial patterns of SSVEP responses recorded using high-density electroencephalography while presenting pattern reversal checkerboard stimuli with different spatial patterns can be classified with fairly high accuracy. The average classification accuracies in two of the three subjects were 91.7% (12-class) and 93.3% (15-class), suggesting that the proposed visual stimulation can potentially be used for multi-class SSVEP-based BCI.
References
1.
Wolpaw J.R., Birbaumer N., McFarland D.J., Pfurtscheller G., and Vaughan T.M.: ‘Brain-computer interfaces for communication and control’, Clin. Neurophysiol., 2002, 113, (6), pp. 767–791 (10.1016/S1388-2457(02)00057-3)
2.
Hwang H.J. et al: ‘Development of an SSVEP-based BCI spelling system adopting a QWERTY-style LED keyboard’, J. Neurosci. Meth., 2012, 208, (1), pp. 59–65 (10.1016/j.jneumeth.2012.04.011)
3.
Vialatte F.B., Maurice M., Dauwels J., and Cichocki A.: ‘Steady-state visually evoked potentials: focus on essential paradigms and future perspectives’, Prog. Neurobiol., 2010, 90, (4), pp. 418–438 (10.1016/j.pneurobio.2009.11.005)
4.
Shyu K.K., Lee P.L., Liu Y.J., and Sie J.J.: ‘Dual-frequency steady-state visual evoked potential for brain computer interface’, Neurosci. Lett., 2010, 483, (1), pp. 28–31 (10.1016/j.neulet.2010.07.043)
5.
Hwang H.J., Kim D.H., Han C.H., and Im C.H.: ‘A new dual-frequency stimulation method to increase the number of visual stimuli for multi-class SSVEP-based brain-computer interface (BCI)’, Brain Res., 2013, 1515, pp. 937–950 (10.1016/j.brainres.2013.03.050)
6.
Zhang Y., Xu P., Liu T., Hu J., Zhang R., and Yao D.: ‘Multiple frequencies sequential coding for SSVEP-based brain-computer interface’, Plos One, 2012, 7, (3), pp. e29519 (10.1371/journal.pone.0029519)
7.
Caruana R., Lawrence S., and Giles L.: ‘Overfitting in neural nets: backpropagation, conjugate gradient, and early stopping’ in Leen T.K., Dietterich T.G., and Tresp V. (Eds): ‘Advances in neural information processing systems’ (Massachusetts Institute of Technology, Cambridge, MA, USA, 2001), pp. 402–408
8.
Yan Z. et al: ‘A half-field stimulation pattern for SSVEP-based brain-computer interface’. 31th Annual Int. Conf. IEEE EMBS, Minneapolis, MN, USA, 2009, pp. 6461–6464
9.
Materka A. and Byczuk M.: ‘Alternate half-field stimulation technique for SSVEP-based brain–computer interfaces’, Electron. Lett., 2006, 42, (6), pp. 321–322 (10.1049/el:20060171)
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Received: 02 September 2013
Published online: 24 October 2013
Published in print: 24 October 2013
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