Name
Abstract | ||
|---|---|---|
Brain-Computer Interface (BCI) technology may provide individuals with motor impairments or even the general population a new way to interact with the world around them. However, current BCI systems using electroencephalography (EEG) can be unreliable and produce large variations in performance. Most studies seek to improve performance by focusing on signal processing and classification techniques... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/BCI53720.2022.9734919 | 2022 10th International Winter Conference on Brain-Computer Interface (BCI) |
Keywords | DocType | ISSN |
visual imagery,brain-computer interface,EEG | Conference | 2572-7672 |
ISBN | Citations | PageRank |
978-1-6654-1337-4 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| J Kilmarx | 1 | 0 | 0.34 |
| H Gamper | 2 | 0 | 0.68 |
| D Emmanouilidou | 3 | 0 | 0.34 |
| D Johnston | 4 | 0 | 0.34 |
| E Cutrell | 5 | 0 | 0.34 |
| Andrew D. Wilson | 6 | 5065 | 362.19 |