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Poster communications

Intrinsic multiclass classification for motor imagery recognition

Cecilia Lindig-León 1 Laurent Bougrain 1
1 NEUROSYS - Analysis and modeling of neural systems by a system neuroscience approach
Inria Nancy - Grand Est, LORIA - AIS - Department of Complex Systems, Artificial Intelligence & Robotics
Abstract : While intrinsic multiclass classifiers are an intuitive approach to discriminate more than two classes, they have not been deeply evaluated on BCI multiclass problems. This study aimed at comparing intrinsic multiclass classifiers and ensembles of 2-class classifiers on the BCI competition IV, dateset IIa with four motor imageries (left hand, right hand, feet and tongue) using a standard protocol as those used in the competition.
Document type :
Poster communications
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Contributor : Cecilia Lindig-León <>
Submitted on : Monday, December 8, 2014 - 2:37:00 PM
Last modification on : Monday, April 19, 2021 - 5:30:04 PM


  • HAL Id : hal-01092250, version 1


Cecilia Lindig-León, Laurent Bougrain. Intrinsic multiclass classification for motor imagery recognition. Berlin Brain-computer interface winter school 2014, Feb 2014, Berlin, Germany. ⟨hal-01092250⟩



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