A review of classification algorithms for EEG-based brain–computer interfaces

Fabien Lotte (1) , Marco Congedo (2) , Anatole Lécuyer (1) , Fabrice Lamarche (1) , Bruno Arnaldi (1)

1 BUNRAKU - Perception, decision and action of real and virtual humans in virtual environments and impact on real environments
2 FT R&D - France Télécom Recherche & Développement

In this paper we review classification algorithms used to design brain–computer interface (BCI) systems based on electroencephalography (EEG). We briefly present the commonly employed algorithms and describe their critical properties. Based on the literature, we compare them in terms of performance and provide guidelines to choose the suitable classification algorithm(s) for a specific BCI.

Mots clés: Classification; Brain-Computer Interfaces

Domaines: Intelligence artificielle [cs.AI]; Biotechnologie; Biotechnologies; Apprentissage [cs.LG]; Recherche d'information [cs.IR]

Fabien Lotte, Marco Congedo, Anatole Lécuyer, Fabrice Lamarche, Bruno Arnaldi. A review of classification algorithms for EEG-based brain–computer interfaces. Journal of Neural Engineering, 2007, 4, pp.24. ⟨inria-00134950⟩