Abstract
An asynchronous hybrid brain-computer interface (BCI) system combining the P300 and steady-state visually evoked potentials (SSVEP) paradigms is introduced. A P300 base system is used for information transfer, and is augmented to include SSVEP for control state detection. The proposed
system has been validated through off-line and online experiments. It is shown to achieve fast and accurate control state detection without significantly compromising the performance. For the two subjects who participated in the online experiments, the system achieved an average data transfer
rate of 20.13 bits/min, with control state classification accuracy of more than 97%.
system has been validated through off-line and online experiments. It is shown to achieve fast and accurate control state detection without significantly compromising the performance. For the two subjects who participated in the online experiments, the system achieved an average data transfer
rate of 20.13 bits/min, with control state classification accuracy of more than 97%.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the EUSIPCO 2010 |
| Publisher | IEEE |
| Publication date | 2010 |
| Pages | 934-938 |
| Publication status | Published - 2010 |
| Event | 18th European Signal Processing Conference - Aalborg, Denmark Duration: 23 Aug 2010 → 27 Aug 2010 Conference number: 18 |
Conference
| Conference | 18th European Signal Processing Conference |
|---|---|
| Number | 18 |
| Country/Territory | Denmark |
| City | Aalborg |
| Period | 23/08/2010 → 27/08/2010 |