The DOI matches its Crossref record; 154 of the 155 references it cites were found in a registry or an index.
Visual and Auditory Brain–Computer Interfaces
Abstract
Over the past several decades, electroencephalogram (EEG)-based brain-computer interfaces (BCIs) have attracted attention from researchers in the field of neuroscience, neural engineering, and clinical rehabilitation. While the performance of BCI systems has improved, they do not yet support widespread usage. Recently, visual and auditory BCI systems have become popular because of their high communication speeds, little user training, and low user variation. However, building robust and practical BCI systems from physiological and technical knowledge of neural modulation of visual and auditory brain responses remains a challenging problem. In this paper, we review the current state and future challenges of visual and auditory BCI systems. First, we describe a new taxonomy based on the multiple access methods used in telecommunication systems. Then, we discuss the challenges of translating current technology into real-life practices and outline potential avenues to address them. Specifically, this review aims to provide useful guidelines for exploring new paradigms and methodologies to improve the current visual and auditory BCI technology.
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Cites
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High-speed spelling with a noninvasive brain–computer interface
Chen, X., Wang, Y., Nakanishi, M., Gao, X., Jung, T.-P., & Gao, S. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1508080112 · Cited by 969
Self-citationA comprehensive review of EEG-based brain–computer interface paradigms
Abiri, R., Borhani, S., Sellers, E. W., Jiang, Y., & Zhao, X. (2019) · Journal of Neural Engineering · doi:10.1088/1741-2552/aaf12e · Cited by 946
Enhancing Detection of SSVEPs for a High-Speed Brain Speller Using Task-Related Component Analysis
Nakanishi, M., Wang, Y., Chen, X., Wang, Y.-T., Gao, X., & Jung, T.-P. (2018) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2017.2694818 · Cited by 813
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Self-citationBrain computer interfacing: Applications and challenges
Abdulkader, S. N., Atia, A., & Mostafa, M.-S. M. (2015) · Egyptian Informatics Journal · doi:10.1016/j.eij.2015.06.002 · Cited by 533
Metadata
- Authors
- Gao, S., Wang, Y., Gao, X., & Hong, B.
- Venue
- IEEE Transactions on Biomedical Engineering
- Published
- 2014-05
- Volume
- 61
- Issue
- 5
- Pages
- 1436-1447
- ISSN
- 0018-9294 (ISSN-L)
- 1558-2531
- OpenAlex
- W2041998778
- Cited by
- 449
- References
- 155
- FWCI
- 19.75
- Type
- journal article
- Language
- en
- Open access
- closed
- Funders
- National Basic Research Program (973) of China (2011CB933204)
- National Natural Science Foundation of China (90820304, 91120007, 91220301)
- National High-tech R&D Program (863) of China (2012AA011601)
- Tsinghua University Initiative Scientific Research Program (20111081111)
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- Gao, S., Wang, Y., Gao, X., & Hong, B. (2014). Visual and Auditory Brain–Computer Interfaces. IEEE Transactions on Biomedical Engineering. https://doi.org/10.1109/tbme.2014.2300164
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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