High-speed spelling with a noninvasive brain–computer interface
Tsinghua University · Chinese Academy of Sciences · +3 more institutions
Abstract
The past 20 years have witnessed unprecedented progress in brain-computer interfaces (BCIs). However, low communication rates remain key obstacles to BCI-based communication in humans. This study presents an electroencephalogram-based BCI speller that can achieve information transfer rates (ITRs) up to 5.32 bits per second, the highest ITRs reported in BCI spellers using either noninvasive or invasive methods. Based on extremely high consistency of frequency and phase observed between visual flickering signals and the elicited single-trial steady-state visual evoked potentials, this study developed a synchronous modulation and demodulation paradigm to implement the speller. Specifically, this study proposed a…
Citation impact
- FWCI
- 32.13
- Percentile
- 100%
- References
- 35
Authors
6- XCXiaogang ChenCorresponding
Tsinghua University
- YWYijun Wang
Chinese Academy of Sciences, University of California San Diego, State Key Laboratory on Integrated Optoelectronics, Institute of Semiconductors
- MNMasaki Nakanishi
University of California San Diego
- XGXiaorong Gao
Tsinghua University
- TJTzyy‐Ping Jung
University of California San Diego
Topics & keywords
- Brain–computer interface
- Computer science
- Information transfer
- Demodulation
- Interface (matter)
- Spelling
- Speech recognition
- Modulation (music)
- Quality Education
Funding
- NNNational Natural Science Foundation of ChinaAwards: 91220301, 2012AA011601, 61431007
- RPRecruitment Program for Young Professionals
- ARAdvanced Research Projects Agency
- NKNational Key Research and Development Program of ChinaAwards: 61431007, 2012AA011601
- OOOffice of Naval ResearchAwards: W911NF-10-2-0022, N00014-08-1215, N00014
- ARArmy Research OfficeAwards: W911NF-10-2-0022, W911NF-09-1-0510, W911NF
- ARArmy Research LaboratoryAwards: W911NF-10-2-0022, W911NF