Intrinsic multiclass classification for motor imagery recognition - Archive ouverte HAL
Poster De Conférence Année : 2014

Intrinsic multiclass classification for motor imagery recognition

Résumé

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.
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Dates et versions

hal-01092250 , version 1 (08-12-2014)

Identifiants

  • HAL Id : hal-01092250 , version 1

Citer

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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