Name
Abstract | ||
|---|---|---|
Numerous methods have been developed to gain reliable real-time remote control over pilotless flying aircraft and to perform teleoperation. Recently, state-of-the-art brain-computer interface (BCI) research has provided an avant-garde approach to reach this goal. Due to its broad range of application, BCI has been the center of attention as a promising candidate for deciphering brain signals into ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/THMS.2018.2830647 | IEEE Transactions on Human-Machine Systems |
Keywords | Field | DocType |
Drones,Aircraft,Robots,Aerospace control | Teleoperation,Fidelity,Remote control,Computer science,Road map,Brain–computer interface,Feature extraction,Human–computer interaction,Artificial intelligence,Control system,Robot,Machine learning | Journal |
Volume | Issue | ISSN |
48 | 4 | 2168-2291 |
Citations | PageRank | References |
7 | 0.52 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amin Nourmohammadi | 1 | 7 | 0.52 |
| Mohammad Jafari | 2 | 32 | 6.11 |
| Thorsten O. Zander | 3 | 7 | 0.52 |