Name
Abstract | ||
|---|---|---|
Nowadays, Human-Computer Interaction (HCI) systems e.g. keyboard, mouse and touch screen are frequently used by anyone. However, those ways to interact with computers may be not suitable for disabled persons. Brain-Computer Interface (BCI) is an HCI system which can be used as an alternative for these persons. This approach allows operating a computer using only the brain signals, for instance, imagine a situation where a participant only needs to think about an action in order to make it happen: to move, to select an object, to shift gaze, to control the movements of their (virtual) body, or to design the environment itself, by “thought” alone. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.procs.2016.04.101 | Procedia Computer Science |
Keywords | Field | DocType |
Brain-Computer Interface,Signal processing,Games,Algorithms,Accuracy,Interactive Learning | GRASP,Gaze,Computer science,Autonomy,Brain–computer interface,Artificial intelligence,Cognition,Machine learning | Conference |
Volume | ISSN | Citations |
83 | 1877-0509 | 0 |
PageRank | References | Authors |
0.34 | 7 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| José Cecílio | 1 | 77 | 17.81 |
| Joao Andrade | 2 | 52 | 8.51 |
| Pedro Martins 0003 | 3 | 0 | 2.37 |
| Miguel Castelo-Branco | 4 | 44 | 11.81 |
| Pedro Furtado | 5 | 18 | 8.15 |