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Design and implementation of a brain-computer interface with high transfer rates
Abstract
This paper presents a brain-computer interface (BCI) that can help users to input phone numbers. The system is based on the steady-state visual evoked potential (SSVEP). Twelve buttons illuminated at different rates were displayed on a computer monitor. The buttons constituted a virtual telephone keypad, representing the ten digits 0-9, BACKSPACE, and ENTER. Users could input phone number by gazing at these buttons. The frequency-coded SSVEP was used to judge which button the user desired. Eight of the thirteen subjects succeeded in ringing the mobile phone using the system. The average transfer rate over all subjects was 27.15 bits/min. The attractive features of the system are noninvasive signal recording, little training required for use, and high information transfer rate. Approaches to improve the performance of the system are discussed.
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Cited by
Steady-state visually evoked potentials: Focus on essential paradigms and future perspectives
Vialatte, F.-B., Maurice, M., Dauwels, J., & Cichocki, A. (2010) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2009.11.005 · Cited by 1,066
Bashashati, A., Fatourechi, M., Ward, R. K., & Birch, G. E. (2007) · Journal of Neural Engineering · doi:10.1088/1741-2560/4/2/r03 · Cited by 907
Bin, G., Gao, X., Yan, Z., Hong, B., & Gao, S. (2009) · Journal of Neural Engineering · doi:10.1088/1741-2560/6/4/046002 · Cited by 773
Self-citationA Survey of Stimulation Methods Used in SSVEP-Based BCIs
Zhu, D., Bieger, J., Garcia Molina, G., & Aarts, R. M. (2010) · Computational Intelligence and Neuroscience · doi:10.1155/2010/702357 · Cited by 654
Brain-Computer Interfaces Based on Visual Evoked Potentials
Wang, Y., Gao, X., Hong, B., Jia, C., & Gao, S. (2008) · IEEE Engineering in Medicine and Biology Magazine · doi:10.1109/memb.2008.923958 · Cited by 423
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Metadata
- Authors
- Cheng, M., Gao, X., Gao, S., & Xu, D.
- Venue
- IEEE Transactions on Biomedical Engineering
- Published
- 2002-10
- Volume
- 49
- Issue
- 10
- Pages
- 1181-1186
- ISSN
- 0018-9294 (ISSN-L)
- OpenAlex
- W2168572392
- Cited by
- 818
- References
- 0
- FWCI
- 3.71
- Type
- journal article
- Language
- en
- Open access
- closed
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- Cheng, M., Gao, X., Gao, S., & Xu, D. (2002). Design and implementation of a brain-computer interface with high transfer rates. IEEE Transactions on Biomedical Engineering. https://doi.org/10.1109/tbme.2002.803536
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