Name
Abstract | ||
|---|---|---|
Multimodal spellers combining visual and auditory stimulation have recently gained more attention in ERP-based Brain-Computer Interfaces (BCIs). Most studies found an improved efficiency compared to unimodal paradigms while few have explored the effect of the visual-to-auditory delays on the spelling performance. Here, we study five conditions with different visual-to-auditory delays, in order to find the paradigm that provides the best overall BCI performance. We compared the temporal and spatial binary classification accuracy as well as the grand-averaged classification accuracies over repetitions. Results show that long delays may cause better performance in early time intervals corresponding to negative ERP components, but better overall performance is achieved with short visual-to-auditory delays. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/EMBC.2014.6943818 | EMBC |
Keywords | Field | DocType |
visual-to-auditory delays,visual stimulation,multimodal spellers,electroencephalography,brain-computer interfaces,auditory evoked potentials,medical signal processing,visual evoked potentials,erp-based brain-computer interfaces,unimodal paradigms,signal classification,multimodal bci speller,negative erp components,overall bci performance,spatial binary classification accuracy,temporal binary classification accuracy,early time intervals,grand-averaged classification accuracy,spelling performance | Computer vision,Computer science,Brain–computer interface,Speech recognition,Artificial intelligence | Conference |
Volume | ISSN | Citations |
2014 | 1557-170X | 1 |
PageRank | References | Authors |
0.45 | 2 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xingwei An | 1 | 21 | 11.88 |
| Dong Ming | 2 | 105 | 51.47 |
| Douglas Sterling | 3 | 1 | 0.45 |
| Hongzhi Qi | 4 | 49 | 20.61 |
| B. Blankertz | 5 | 2918 | 334.21 |