In order to improve Brain Computer Interface usability for real life context, they should be able to adapt their speed to the user's current psychophysical state and to understand from the ongoing EEG when he/she intends to suspend the control. In this work we evaluated an asynchronous classifier which provides these feature with 20 healthy subjects, who were engaged in an environmental control task or in a spelling task. We also demonstrated how the proposed classifier can improve communication efficiency with respect to classical synchronous classifiers.
Control or no-control? Reducing the gap between brain-computer interface and classical input devices / Schettini, Francesca; F., Aloise; Arico, P.; Salinari, Serenella; D., Mattia; Cincotti, Febo. - STAMPA. - (2012), pp. 1815-1818. (Intervento presentato al convegno 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society tenutosi a San Diego, CA; United States nel 28 August - 01 September 2012) [10.1109/EMBC.2012.6346303].
Control or no-control? Reducing the gap between brain-computer interface and classical input devices
SCHETTINI, FRANCESCA
;P. Arico;SALINARI, Serenella;CINCOTTI, FEBO
2012
Abstract
In order to improve Brain Computer Interface usability for real life context, they should be able to adapt their speed to the user's current psychophysical state and to understand from the ongoing EEG when he/she intends to suspend the control. In this work we evaluated an asynchronous classifier which provides these feature with 20 healthy subjects, who were engaged in an environmental control task or in a spelling task. We also demonstrated how the proposed classifier can improve communication efficiency with respect to classical synchronous classifiers.File | Dimensione | Formato | |
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