A P300-Based Brain–Computer Interface for Chinese Character Input

References

• Allison, B. Z., & Pineda, J. A. (2003). ERPs evoked by different matrix sizes: Implications for a brain–computer interface (BCI) system. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 11, 110–113.
   PubMed Web of Science ®Google Scholar
• Bi, L., Fan, X.-A., Luo, N., Jie, K., Li, Y., & Liu, Y. (2013). A head-up display-based P300 Brain–computer interface for destination selection. IEEE Transactions on Intelligent Transportation Systems, 14(4), 1996–2001.
   Web of Science ®Google Scholar
• Chen, F., Zhou, J., & Yang, C. (2009). Reconstructing orientation field from fingerprint minutiae to improve minutiae-matching accuracy. IEEE Transactions on Image Processing, 18, 1665–1670.
   PubMed Web of Science ®Google Scholar
• Daniels, P. T. E., & Bright, W. E. (1996). The world’s writing systems. New York: Oxford University Press.
   Google Scholar
• Draper, N. R., & H. Smith. (1981). Applied regression analysis, 2nd ed. New York: John Wiley & Sons.
   Google Scholar
• Fan, X.-A., Bi, L., Teng, T., Ding, H., & Liu, Y. (2015). A brain–computer interface-based vehicle destination selection system using P300 and SSVEP signals. IEEE Transactions on Intelligent Transportation Systems, 16(1), 274–283.
   Web of Science ®Google Scholar
• Flandrin, P., Rilling, G., & Goncalves, P. (2003). Empirical mode decomposition as a filter bank. IEEE Signal Processing Letters, 11(2), 112–114.
   Google Scholar
• Jin, J., Allison, B., Sellers, E., Brunner, C., Horki, P., Wang, X., & Neuper, C. (2011). Optimized stimulus presentation patterns for an event-related potential EEG-based brain–computer interface. Medica Biologic Engineering Computation, 49, 181–191.
   PubMed Web of Science ®Google Scholar
• Jin, J., Allison, B. Z., Brunner, C., Wang, B., Wang, X., Zhang, J., … Pfurtscheller, G. (2010). P300 Chinese input system based on Bayesian LDA. Biomedizinische Technik/Biomedical Engineering, 55, 5–18.
   PubMed Web of Science ®Google Scholar
• Krusienski, D. J., Sellers, E. W., Cabestaing, F., Bayoudh, S., McFarland, D. J., Vaughan, T. M., & Wolpaw, J. R. (2006). A comparison of classification techniques for the P300 speller. Journal of Neural Engineering, 3, 299–305.
   PubMed Web of Science ®Google Scholar
• Krusienski, D. J., Sellers, E. W., McFarland, D. J., Vaughan, T. M., & Wolpaw, J. R. (2008). Toward enhanced P300 speller performance. Journal of Neuroscience Methods, 167, 15–21.
   PubMed Web of Science ®Google Scholar
• Li, Y., Nam, C. S., Shadden, B. B., & Johnson, S. L. (2010). A P300-based brain–computer interface: Effects of interface type and screen size. International Journal of Human–Computer Interaction, 27, 52–68.
   Web of Science ®Google Scholar
• Liu, Y., Zhou, Z. T., & Hu, D. W. (2011). Gaze independent brain–computer speller with covert visual search tasks. Clinical Neurophysiology, 122, 1127–1136.
   PubMed Web of Science ®Google Scholar
• Martis, R. J., Acharya, U. R., Tan, J. H., Petznick, A., Yanti, R., Chua, C. K., … Tong, L. (2012). Application of empirical mode decomposition (EMD) for automated detection of epilepsy using EEG signals. International Journal of Neural Systems, 22(6), 1250027.
   PubMed Web of Science ®Google Scholar
• Minett, J. W., Peng, G., Zhou, L., Zheng, H.-Y., & Wang, W. S.-Y. (2010) An assistive communication brain–computer interface for Chinese text input. In 4th Int. Conf. on Bioinformatics and Biomedical Engineering (iCBBE) (pp. 1–4).
   Google Scholar
• Minett, J. W., Zheng, H.-Y., Fong, -M. C.-M., Zhou, L., Peng, G., & Wang, W. S.-Y. (2012). A Chinese text input brain–computer interface based on the P300 speller. International Journal of Human–Computer Interaction, 28(7), 472–483.
   Web of Science ®Google Scholar
• Nam, C. S., Li, Y. Q., & Johnson, S. (2010). Evaluation of P300-based brain–computer interface in real-world contexts. International Journal of Human–Computer Interaction, 26(6), 621–637.
   Web of Science ®Google Scholar
• Pachori, R. B., & Bajaj, V. (2011). Analysis of normal and epileptic seizure EEG signals using empirical mode decomposition. Computer Methods and Programs in Biomedicine, 104, 373–381.
   PubMed Web of Science ®Google Scholar
• Pan, J. H., Li, Y. Q., Gu, Z. H., & Yu, Z. L. (2013). A comparison study of two P300 speller paradigms for brain–computer interface. Cognitive Neurodynamics, 7, 523–529.
   PubMed Web of Science ®Google Scholar
• Ramoser, H., Muller-Gerking, J., & Pfurtscheller, G. (2000). Optimal spatial filtering of single trial EEG during imagined hand movement. IEEE Transactions on Rehabilitation Engineering, 8(4), 441–446.
   PubMedGoogle Scholar
• Rutkowski, T. M., Mandic, D. P., Cichocki, A., & Przybyszewski, A. W. (2010). Emd approach to multichannel EEG data: The amplitude and phase components clustering analysis. Journal Circuit Systems Comparative, 19(1), 215–229.
   Web of Science ®Google Scholar
• Rutkowski, T. M., Vialatte, F., Cichocki, A., Mandic, D. P., & Barros, A. K. (2006). Auditory feedback for brain–computer interface management: An EEG data sonification approach. Lecture Notes in Artificial Intelligence, 4253, 1232–1239.
   Google Scholar
• Ryan, D. B., Frye, G. E., Townsend, G., Berry, D. R., Mesa-G., S., Gates, N. A., & Sellers, E. W. (2011). Predictive spelling with a P300-based brain–computer interface: Increasing the rate of communication. International Journal of Human–Computer Interaction, 27, 69–84.
   PubMed Web of Science ®Google Scholar
• Schalk, G., McFarland, D. J., Hinterberger, T., Birbaumer, N., & Wolpaw, J. R. (2004). BCI2000: A general-purpose brain–computer interface (BCI) system. IEEE Transactions Biomedical Engineering, 51, 1034–1043.
   PubMed Web of Science ®Google Scholar
• Sellers, E. W., & Donchin, E. (2006). A P300-based brain–computer interface: Initial tests by ALS patients. Clinical Neurophysiology, 117, 538–548.
   PubMed Web of Science ®Google Scholar
• Sellers, E. W., Krusienski, D. J., McFarland, D. J., Vaughan, T. M., & Wolpaw, J. R. (2006). A P300 event-related potential brain–computer interface (BCI): The effects of matrix size and inter stimulus interval on performance. Biological Psychology, 73, 242–252.
   PubMed Web of Science ®Google Scholar
• Wu, B., Su, Y., Zhang, J. H., Li, X., Zhang, J. C., Cheng, W. D., & Zheng, X. X. (2009). A virtual Chinese keyboard BCI system based on P300 potentials [Chinese]. Acta Electronica Sinica, 37, 1733–1745.
   Google Scholar
• Yin, E. W., Zhou, Z. T., Jiang, J., Chen, F. L., Liu, Y. D., & Hu, D. W. (2013). A novel hybrid BCI speller based on the incorporation of SSVEP into the P300 paradigm. Journal Neural Engineering, 10, 026012.
   PubMed Web of Science ®Google Scholar