Latency correction of error-related potentials reduces BCI calibration time

Calibration of brain-machine interfaces exploiting event-related potentials has to be performed for each experimental paradigm. Even if these signals have been used in previous experiments with different protocols. We show that use of signals from previous experiments can reduce the calibration time for single-trial classification of error-related potentials. Compensating latency variations across tasks yield up to a 50% reduction the training period in new experiments without decrease in online performance compared to the standard training.


Présenté à:
6th Brain-Computer Interface Conference 2014, Graz, Austria, September 16-19, 2014
Année
2014
Laboratoires:




 Notice créée le 2014-07-04, modifiée le 2019-08-12

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